Visual Servoing Platform  version 3.5.0 under development (2022-02-15)
vpImageTools.h
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20  * Inria Rennes - Bretagne Atlantique
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29  * WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
30  *
31  * Description:
32  * Image tools.
33  *
34  * Authors:
35  * Fabien Spindler
36  *
37  *****************************************************************************/
38 
39 #ifndef vpImageTools_H
40 #define vpImageTools_H
41 
49 #include <visp3/core/vpImage.h>
50 
51 #ifdef VISP_HAVE_PTHREAD
52 #include <pthread.h>
53 #endif
54 
55 #include <visp3/core/vpCameraParameters.h>
56 #include <visp3/core/vpImageException.h>
57 #include <visp3/core/vpMath.h>
58 #include <visp3/core/vpRect.h>
59 #include <visp3/core/vpRectOriented.h>
60 
61 #include <fstream>
62 #include <iostream>
63 #include <math.h>
64 #include <string.h>
65 
66 #if defined _OPENMP
67 #include <omp.h>
68 #endif
69 
78 class VISP_EXPORT vpImageTools
79 {
80 public:
85  INTERPOLATION_AREA
86  };
87 
88  template <class Type>
89  static inline void binarise(vpImage<Type> &I, Type threshold1, Type threshold2, Type value1, Type value2, Type value3,
90  bool useLUT = true);
91  static void changeLUT(vpImage<unsigned char> &I, unsigned char A, unsigned char newA, unsigned char B,
92  unsigned char newB);
93 
94  template <class Type>
95  static void crop(const vpImage<Type> &I, double roi_top, double roi_left, unsigned int roi_height,
96  unsigned int roi_width, vpImage<Type> &crop, unsigned int v_scale = 1, unsigned int h_scale = 1);
97 
98  static void columnMean(const vpImage<double> &I, vpRowVector &result);
99 
100  template <class Type>
101  static void crop(const vpImage<Type> &I, const vpImagePoint &topLeft, unsigned int roi_height, unsigned int roi_width,
102  vpImage<Type> &crop, unsigned int v_scale = 1, unsigned int h_scale = 1);
103  template <class Type>
104  static void crop(const vpImage<Type> &I, const vpRect &roi, vpImage<Type> &crop, unsigned int v_scale = 1,
105  unsigned int h_scale = 1);
106  template <class Type>
107  static void crop(const unsigned char *bitmap, unsigned int width, unsigned int height, const vpRect &roi,
108  vpImage<Type> &crop, unsigned int v_scale = 1, unsigned int h_scale = 1);
109 
110  static void extract(const vpImage<unsigned char> &Src, vpImage<unsigned char> &Dst, const vpRectOriented &r);
111  static void extract(const vpImage<unsigned char> &Src, vpImage<double> &Dst, const vpRectOriented &r);
112 
113  template <class Type> static void flip(const vpImage<Type> &I, vpImage<Type> &newI);
114 
115  template <class Type> static void flip(vpImage<Type> &I);
116 
117  static void imageDifference(const vpImage<unsigned char> &I1, const vpImage<unsigned char> &I2,
118  vpImage<unsigned char> &Idiff);
119  static void imageDifference(const vpImage<vpRGBa> &I1, const vpImage<vpRGBa> &I2, vpImage<vpRGBa> &Idiff);
120 
121  static void imageDifferenceAbsolute(const vpImage<unsigned char> &I1, const vpImage<unsigned char> &I2,
122  vpImage<unsigned char> &Idiff);
123  static void imageDifferenceAbsolute(const vpImage<double> &I1, const vpImage<double> &I2, vpImage<double> &Idiff);
124  static void imageDifferenceAbsolute(const vpImage<vpRGBa> &I1, const vpImage<vpRGBa> &I2, vpImage<vpRGBa> &Idiff);
125 
126  static void imageAdd(const vpImage<unsigned char> &I1, const vpImage<unsigned char> &I2, vpImage<unsigned char> &Ires,
127  bool saturate = false);
128 
129  static void imageSubtract(const vpImage<unsigned char> &I1, const vpImage<unsigned char> &I2,
130  vpImage<unsigned char> &Ires, bool saturate = false);
131 
132  static void initUndistortMap(const vpCameraParameters &cam, unsigned int width, unsigned int height,
133  vpArray2D<int> &mapU, vpArray2D<int> &mapV,
134  vpArray2D<float> &mapDu, vpArray2D<float> &mapDv);
135 
136  static double interpolate(const vpImage<unsigned char> &I, const vpImagePoint &point,
137  const vpImageInterpolationType &method = INTERPOLATION_NEAREST);
138 
139  static void integralImage(const vpImage<unsigned char> &I, vpImage<double> &II, vpImage<double> &IIsq);
140 
141  static double normalizedCorrelation(const vpImage<double> &I1, const vpImage<double> &I2,
142  bool useOptimized = true);
143 
144  static void normalize(vpImage<double> &I);
145 
146  static void remap(const vpImage<unsigned char> &I, const vpArray2D<int> &mapU, const vpArray2D<int> &mapV,
147  const vpArray2D<float> &mapDu, const vpArray2D<float> &mapDv, vpImage<unsigned char> &Iundist);
148  static void remap(const vpImage<vpRGBa> &I, const vpArray2D<int> &mapU, const vpArray2D<int> &mapV,
149  const vpArray2D<float> &mapDu, const vpArray2D<float> &mapDv, vpImage<vpRGBa> &Iundist);
150 
151  template <class Type>
152  static void resize(const vpImage<Type> &I, vpImage<Type> &Ires, unsigned int width, unsigned int height,
153  const vpImageInterpolationType &method = INTERPOLATION_NEAREST, unsigned int nThreads=0);
154 
155  template <class Type>
156  static void resize(const vpImage<Type> &I, vpImage<Type> &Ires,
157  const vpImageInterpolationType &method = INTERPOLATION_NEAREST, unsigned int nThreads=0);
158 
159  static void templateMatching(const vpImage<unsigned char> &I, const vpImage<unsigned char> &I_tpl,
160  vpImage<double> &I_score, unsigned int step_u, unsigned int step_v,
161  bool useOptimized = true);
162 
163  template <class Type>
164  static void undistort(const vpImage<Type> &I, const vpCameraParameters &cam, vpImage<Type> &newI,
165  unsigned int nThreads=2);
166 
167  template <class Type>
168  static void undistort(const vpImage<Type> &I, vpArray2D<int> mapU, vpArray2D<int> mapV, vpArray2D<float> mapDu,
169  vpArray2D<float> mapDv, vpImage<Type> &newI);
170 
171  template <class Type>
172  static void warpImage(const vpImage<Type> &src, const vpMatrix &T, vpImage<Type> &dst,
173  const vpImageInterpolationType &interpolation=INTERPOLATION_NEAREST,
174  bool fixedPointArithmetic=true, bool pixelCenter=false);
175 
176 #if defined(VISP_BUILD_DEPRECATED_FUNCTIONS)
177 
181  template <class Type>
182  vp_deprecated static void createSubImage(const vpImage<Type> &I, unsigned int i_sub, unsigned int j_sub,
183  unsigned int nrow_sub, unsigned int ncol_sub, vpImage<Type> &S);
184 
185  template <class Type>
186  vp_deprecated static void createSubImage(const vpImage<Type> &I, const vpRect &rect, vpImage<Type> &S);
188 #endif
189 
190 private:
191  // Cubic interpolation
192  static float cubicHermite(const float A, const float B, const float C, const float D, const float t);
193 
194  template <class Type> static Type getPixelClamped(const vpImage<Type> &I, float u, float v);
195 
196  static int coordCast(double x);
197 
198  // Linear interpolation
199  static double lerp(double A, double B, double t);
200  static float lerp(float A, float B, float t);
201  static int64_t lerp2(int64_t A, int64_t B, int64_t t, int64_t t_1);
202 
203  static double normalizedCorrelation(const vpImage<double> &I1, const vpImage<double> &I2, const vpImage<double> &II,
204  const vpImage<double> &IIsq, const vpImage<double> &II_tpl,
205  const vpImage<double> &IIsq_tpl, unsigned int i0, unsigned int j0);
206 
207  template <class Type>
208  static void resizeBicubic(const vpImage<Type> &I, vpImage<Type> &Ires, unsigned int i, unsigned int j,
209  float u, float v, float xFrac, float yFrac);
210 
211  template <class Type>
212  static void resizeBilinear(const vpImage<Type> &I, vpImage<Type> &Ires, unsigned int i, unsigned int j,
213  float u, float v, float xFrac, float yFrac);
214 
215  template <class Type>
216  static void resizeNearest(const vpImage<Type> &I, vpImage<Type> &Ires, unsigned int i, unsigned int j,
217  float u, float v);
218 
219  static void resizeSimdlib(const vpImage<vpRGBa>& Isrc, unsigned int resizeWidth, unsigned int resizeHeight,
220  vpImage<vpRGBa>& Idst, int method);
221  static void resizeSimdlib(const vpImage<unsigned char>& Isrc, unsigned int resizeWidth, unsigned int resizeHeight,
222  vpImage<unsigned char>& Idst, int method);
223 
224  template <class Type>
225  static void warpNN(const vpImage<Type> &src, const vpMatrix &T, vpImage<Type> &dst, bool affine, bool centerCorner, bool fixedPoint);
226 
227  template <class Type>
228  static void warpLinear(const vpImage<Type> &src, const vpMatrix &T, vpImage<Type> &dst, bool affine, bool centerCorner, bool fixedPoint);
229 
230  static bool checkFixedPoint(unsigned int x, unsigned int y, const vpMatrix &T, bool affine);
231 };
232 
233 #if defined(VISP_BUILD_DEPRECATED_FUNCTIONS)
234 
253 template <class Type>
254 void vpImageTools::createSubImage(const vpImage<Type> &I, unsigned int roi_top, unsigned int roi_left,
255  unsigned int roi_height, unsigned int roi_width, vpImage<Type> &crop)
256 {
257  vpImageTools::crop(I, roi_top, roi_left, roi_height, roi_width, crop);
258 }
259 
275 template <class Type> void vpImageTools::createSubImage(const vpImage<Type> &I, const vpRect &roi, vpImage<Type> &crop)
276 {
277  vpImageTools::crop(I, roi, crop);
278 }
279 
280 #endif // #if defined(VISP_BUILD_DEPRECATED_FUNCTIONS)
281 
304 template <class Type>
305 void vpImageTools::crop(const vpImage<Type> &I, double roi_top, double roi_left, unsigned int roi_height,
306  unsigned int roi_width, vpImage<Type> &crop, unsigned int v_scale, unsigned int h_scale)
307 {
308  int i_min = (std::max)((int)(ceil(roi_top / v_scale)), 0);
309  int j_min = (std::max)((int)(ceil(roi_left / h_scale)), 0);
310  int i_max = (std::min)((int)(ceil((roi_top + roi_height)) / v_scale), (int)(I.getHeight() / v_scale));
311  int j_max = (std::min)((int)(ceil((roi_left + roi_width) / h_scale)), (int)(I.getWidth() / h_scale));
312 
313  unsigned int i_min_u = (unsigned int)i_min;
314  unsigned int j_min_u = (unsigned int)j_min;
315 
316  unsigned int r_width = (unsigned int)(j_max - j_min);
317  unsigned int r_height = (unsigned int)(i_max - i_min);
318 
319  crop.resize(r_height, r_width);
320 
321  if (v_scale == 1 && h_scale == 1) {
322  for (unsigned int i = 0; i < r_height; i++) {
323  void *src = (void *)(I[i + i_min_u] + j_min_u);
324  void *dst = (void *)crop[i];
325  memcpy(dst, src, r_width * sizeof(Type));
326  }
327  } else if (h_scale == 1) {
328  for (unsigned int i = 0; i < r_height; i++) {
329  void *src = (void *)(I[(i + i_min_u) * v_scale] + j_min_u);
330  void *dst = (void *)crop[i];
331  memcpy(dst, src, r_width * sizeof(Type));
332  }
333  } else {
334  for (unsigned int i = 0; i < r_height; i++) {
335  for (unsigned int j = 0; j < r_width; j++) {
336  crop[i][j] = I[(i + i_min_u) * v_scale][(j + j_min_u) * h_scale];
337  }
338  }
339  }
340 }
341 
359 template <class Type>
360 void vpImageTools::crop(const vpImage<Type> &I, const vpImagePoint &topLeft, unsigned int roi_height,
361  unsigned int roi_width, vpImage<Type> &crop, unsigned int v_scale, unsigned int h_scale)
362 {
363  vpImageTools::crop(I, topLeft.get_i(), topLeft.get_j(), roi_height, roi_width, crop, v_scale, h_scale);
364 }
365 
382 template <class Type>
383 void vpImageTools::crop(const vpImage<Type> &I, const vpRect &roi, vpImage<Type> &crop, unsigned int v_scale,
384  unsigned int h_scale)
385 {
386  vpImageTools::crop(I, roi.getTop(), roi.getLeft(), (unsigned int)roi.getHeight(), (unsigned int)roi.getWidth(), crop,
387  v_scale, h_scale);
388 }
389 
407 template <class Type>
408 void vpImageTools::crop(const unsigned char *bitmap, unsigned int width, unsigned int height, const vpRect &roi,
409  vpImage<Type> &crop, unsigned int v_scale, unsigned int h_scale)
410 {
411  int i_min = (std::max)((int)(ceil(roi.getTop() / v_scale)), 0);
412  int j_min = (std::max)((int)(ceil(roi.getLeft() / h_scale)), 0);
413  int i_max = (std::min)((int)(ceil((roi.getTop() + roi.getHeight()) / v_scale)), (int)(height / v_scale));
414  int j_max = (std::min)((int)(ceil((roi.getLeft() + roi.getWidth()) / h_scale)), (int)(width / h_scale));
415 
416  unsigned int i_min_u = (unsigned int)i_min;
417  unsigned int j_min_u = (unsigned int)j_min;
418 
419  unsigned int r_width = (unsigned int)(j_max - j_min);
420  unsigned int r_height = (unsigned int)(i_max - i_min);
421 
422  crop.resize(r_height, r_width);
423 
424  if (v_scale == 1 && h_scale == 1) {
425  for (unsigned int i = 0; i < r_height; i++) {
426  void *src = (void *)(bitmap + ((i + i_min_u) * width + j_min_u) * sizeof(Type));
427  void *dst = (void *)crop[i];
428  memcpy(dst, src, r_width * sizeof(Type));
429  }
430  } else if (h_scale == 1) {
431  for (unsigned int i = 0; i < r_height; i++) {
432  void *src = (void *)(bitmap + ((i + i_min_u) * width * v_scale + j_min_u) * sizeof(Type));
433  void *dst = (void *)crop[i];
434  memcpy(dst, src, r_width * sizeof(Type));
435  }
436  } else {
437  for (unsigned int i = 0; i < r_height; i++) {
438  unsigned int i_src = (i + i_min_u) * width * v_scale + j_min_u * h_scale;
439  for (unsigned int j = 0; j < r_width; j++) {
440  void *src = (void *)(bitmap + (i_src + j * h_scale) * sizeof(Type));
441  void *dst = (void *)&crop[i][j];
442  memcpy(dst, src, sizeof(Type));
443  }
444  }
445  }
446 }
447 
458 template <class Type>
459 inline void vpImageTools::binarise(vpImage<Type> &I, Type threshold1, Type threshold2, Type value1, Type value2,
460  Type value3, bool useLUT)
461 {
462  if (useLUT) {
463  std::cerr << "LUT not available for this type ! Will use the iteration method." << std::endl;
464  }
465 
466  Type v;
467  Type *p = I.bitmap;
468  Type *pend = I.bitmap + I.getWidth() * I.getHeight();
469  for (; p < pend; p++) {
470  v = *p;
471  if (v < threshold1)
472  *p = value1;
473  else if (v > threshold2)
474  *p = value3;
475  else
476  *p = value2;
477  }
478 }
479 
490 template <>
491 inline void vpImageTools::binarise(vpImage<unsigned char> &I, unsigned char threshold1, unsigned char threshold2,
492  unsigned char value1, unsigned char value2, unsigned char value3, bool useLUT)
493 {
494  if (useLUT) {
495  // Construct the LUT
496  unsigned char lut[256];
497  for (unsigned int i = 0; i < 256; i++) {
498  lut[i] = i < threshold1 ? value1 : (i > threshold2 ? value3 : value2);
499  }
500 
501  I.performLut(lut);
502  } else {
503  unsigned char *p = I.bitmap;
504  unsigned char *pend = I.bitmap + I.getWidth() * I.getHeight();
505  for (; p < pend; p++) {
506  unsigned char v = *p;
507  if (v < threshold1)
508  *p = value1;
509  else if (v > threshold2)
510  *p = value3;
511  else
512  *p = value2;
513  }
514  }
515 }
516 
517 #ifdef VISP_HAVE_PTHREAD
518 
519 #ifndef DOXYGEN_SHOULD_SKIP_THIS
520 template <class Type> class vpUndistortInternalType
521 {
522 public:
523  Type *src;
524  Type *dst;
525  unsigned int width;
526  unsigned int height;
527  vpCameraParameters cam;
528  unsigned int nthreads;
529  unsigned int threadid;
530 
531 public:
532  vpUndistortInternalType() : src(NULL), dst(NULL), width(0), height(0), cam(), nthreads(0), threadid(0) {}
533 
534  vpUndistortInternalType(const vpUndistortInternalType<Type> &u) { *this = u; }
535  vpUndistortInternalType &operator=(const vpUndistortInternalType<Type> &u)
536  {
537  src = u.src;
538  dst = u.dst;
539  width = u.width;
540  height = u.height;
541  cam = u.cam;
542  nthreads = u.nthreads;
543  threadid = u.threadid;
544 
545  return *this;
546  }
547 
548  static void *vpUndistort_threaded(void *arg);
549 };
550 
551 template <class Type> void *vpUndistortInternalType<Type>::vpUndistort_threaded(void *arg)
552 {
553  vpUndistortInternalType<Type> *undistortSharedData = static_cast<vpUndistortInternalType<Type> *>(arg);
554  int offset = (int)undistortSharedData->threadid;
555  int width = (int)undistortSharedData->width;
556  int height = (int)undistortSharedData->height;
557  int nthreads = (int)undistortSharedData->nthreads;
558 
559  double u0 = undistortSharedData->cam.get_u0();
560  double v0 = undistortSharedData->cam.get_v0();
561  double px = undistortSharedData->cam.get_px();
562  double py = undistortSharedData->cam.get_py();
563  double kud = undistortSharedData->cam.get_kud();
564 
565  double invpx = 1.0 / px;
566  double invpy = 1.0 / py;
567 
568  double kud_px2 = kud * invpx * invpx;
569  double kud_py2 = kud * invpy * invpy;
570 
571  Type *dst = undistortSharedData->dst + (height / nthreads * offset) * width;
572  Type *src = undistortSharedData->src;
573 
574  for (double v = height / nthreads * offset; v < height / nthreads * (offset + 1); v++) {
575  double deltav = v - v0;
576  // double fr1 = 1.0 + kd * (vpMath::sqr(deltav * invpy));
577  double fr1 = 1.0 + kud_py2 * deltav * deltav;
578 
579  for (double u = 0; u < width; u++) {
580  // computation of u,v : corresponding pixel coordinates in I.
581  double deltau = u - u0;
582  // double fr2 = fr1 + kd * (vpMath::sqr(deltau * invpx));
583  double fr2 = fr1 + kud_px2 * deltau * deltau;
584 
585  double u_double = deltau * fr2 + u0;
586  double v_double = deltav * fr2 + v0;
587 
588  // computation of the bilinear interpolation
589 
590  // declarations
591  int u_round = (int)(u_double);
592  int v_round = (int)(v_double);
593  if (u_round < 0.f)
594  u_round = -1;
595  if (v_round < 0.f)
596  v_round = -1;
597  double du_double = (u_double) - (double)u_round;
598  double dv_double = (v_double) - (double)v_round;
599  Type v01;
600  Type v23;
601  if ((0 <= u_round) && (0 <= v_round) && (u_round < ((width)-1)) && (v_round < ((height)-1))) {
602  // process interpolation
603  const Type *_mp = &src[v_round * width + u_round];
604  v01 = (Type)(_mp[0] + ((_mp[1] - _mp[0]) * du_double));
605  _mp += width;
606  v23 = (Type)(_mp[0] + ((_mp[1] - _mp[0]) * du_double));
607  *dst = (Type)(v01 + ((v23 - v01) * dv_double));
608  } else {
609  *dst = 0;
610  }
611  dst++;
612  }
613  }
614 
615  pthread_exit((void *)0);
616  return NULL;
617 }
618 #endif // DOXYGEN_SHOULD_SKIP_THIS
619 #endif // VISP_HAVE_PTHREAD
620 
644 template <class Type>
646  unsigned int nThreads)
647 {
648 #ifdef VISP_HAVE_PTHREAD
649  //
650  // Optimized version using pthreads
651  //
652  unsigned int width = I.getWidth();
653  unsigned int height = I.getHeight();
654 
655  undistI.resize(height, width);
656 
657  double kud = cam.get_kud();
658 
659  // if (kud == 0) {
660  if (std::fabs(kud) <= std::numeric_limits<double>::epsilon()) {
661  // There is no need to undistort the image
662  undistI = I;
663  return;
664  }
665 
666  unsigned int nthreads = nThreads;
667  pthread_attr_t attr;
668  pthread_t *callThd = new pthread_t[nthreads];
669  pthread_attr_init(&attr);
670  pthread_attr_setdetachstate(&attr, PTHREAD_CREATE_JOINABLE);
671 
672  vpUndistortInternalType<Type> *undistortSharedData;
673  undistortSharedData = new vpUndistortInternalType<Type>[nthreads];
674 
675  for (unsigned int i = 0; i < nthreads; i++) {
676  // Each thread works on a different set of data.
677  // vpTRACE("create thread %d", i);
678  undistortSharedData[i].src = I.bitmap;
679  undistortSharedData[i].dst = undistI.bitmap;
680  undistortSharedData[i].width = I.getWidth();
681  undistortSharedData[i].height = I.getHeight();
682  undistortSharedData[i].cam = cam;
683  undistortSharedData[i].nthreads = nthreads;
684  undistortSharedData[i].threadid = i;
685  pthread_create(&callThd[i], &attr, &vpUndistortInternalType<Type>::vpUndistort_threaded, &undistortSharedData[i]);
686  }
687  pthread_attr_destroy(&attr);
688  /* Wait on the other threads */
689 
690  for (unsigned int i = 0; i < nthreads; i++) {
691  // vpTRACE("join thread %d", i);
692  pthread_join(callThd[i], NULL);
693  }
694 
695  delete[] callThd;
696  delete[] undistortSharedData;
697 #else // VISP_HAVE_PTHREAD
698  (void)nThreads;
699  //
700  // optimized version without pthreads
701  //
702  unsigned int width = I.getWidth();
703  unsigned int height = I.getHeight();
704 
705  undistI.resize(height, width);
706 
707  double u0 = cam.get_u0();
708  double v0 = cam.get_v0();
709  double px = cam.get_px();
710  double py = cam.get_py();
711  double kud = cam.get_kud();
712 
713  // if (kud == 0) {
714  if (std::fabs(kud) <= std::numeric_limits<double>::epsilon()) {
715  // There is no need to undistort the image
716  undistI = I;
717  return;
718  }
719 
720  double invpx = 1.0 / px;
721  double invpy = 1.0 / py;
722 
723  double kud_px2 = kud * invpx * invpx;
724  double kud_py2 = kud * invpy * invpy;
725 
726  Type *dst = undistI.bitmap;
727  for (double v = 0; v < height; v++) {
728  double deltav = v - v0;
729  // double fr1 = 1.0 + kd * (vpMath::sqr(deltav * invpy));
730  double fr1 = 1.0 + kud_py2 * deltav * deltav;
731 
732  for (double u = 0; u < width; u++) {
733  // computation of u,v : corresponding pixel coordinates in I.
734  double deltau = u - u0;
735  // double fr2 = fr1 + kd * (vpMath::sqr(deltau * invpx));
736  double fr2 = fr1 + kud_px2 * deltau * deltau;
737 
738  double u_double = deltau * fr2 + u0;
739  double v_double = deltav * fr2 + v0;
740 
741  // printf("[%g][%g] %g %g : ", u, v, u_double, v_double );
742 
743  // computation of the bilinear interpolation
744 
745  // declarations
746  int u_round = (int)(u_double);
747  int v_round = (int)(v_double);
748  if (u_round < 0.f)
749  u_round = -1;
750  if (v_round < 0.f)
751  v_round = -1;
752  double du_double = (u_double) - (double)u_round;
753  double dv_double = (v_double) - (double)v_round;
754  Type v01;
755  Type v23;
756  if ((0 <= u_round) && (0 <= v_round) && (u_round < (((int)width) - 1)) && (v_round < (((int)height) - 1))) {
757  // process interpolation
758  const Type *_mp = &I[(unsigned int)v_round][(unsigned int)u_round];
759  v01 = (Type)(_mp[0] + ((_mp[1] - _mp[0]) * du_double));
760  _mp += width;
761  v23 = (Type)(_mp[0] + ((_mp[1] - _mp[0]) * du_double));
762  *dst = (Type)(v01 + ((v23 - v01) * dv_double));
763  // printf("R %d G %d B %d\n", dst->R, dst->G, dst->B);
764  } else {
765  *dst = 0;
766  }
767  dst++;
768  }
769  }
770 #endif // VISP_HAVE_PTHREAD
771 
772 #if 0
773  // non optimized version
774  int width = I.getWidth();
775  int height = I.getHeight();
776 
777  undistI.resize(height,width);
778 
779  double u0 = cam.get_u0();
780  double v0 = cam.get_v0();
781  double px = cam.get_px();
782  double py = cam.get_py();
783  double kd = cam.get_kud();
784 
785  if (kd == 0) {
786  // There is no need to undistort the image
787  undistI = I;
788  return;
789  }
790 
791  for(int v = 0 ; v < height; v++){
792  for(int u = 0; u < height; u++){
793  double r2 = vpMath::sqr(((double)u - u0)/px) +
794  vpMath::sqr(((double)v-v0)/py);
795  double u_double = ((double)u - u0)*(1.0+kd*r2) + u0;
796  double v_double = ((double)v - v0)*(1.0+kd*r2) + v0;
797  undistI[v][u] = I.getPixelBI((float)u_double,(float)v_double);
798  }
799  }
800 #endif
801 }
802 
817 template <class Type>
819  vpArray2D<float> mapDv, vpImage<Type> &newI)
820 {
821  remap(I, mapU, mapV, mapDu, mapDv, newI);
822 }
823 
830 template <class Type> void vpImageTools::flip(const vpImage<Type> &I, vpImage<Type> &newI)
831 {
832  unsigned int height = I.getHeight(), width = I.getWidth();
833  newI.resize(height, width);
834 
835  for (unsigned int i = 0; i < height; i++) {
836  memcpy(newI.bitmap + i * width, I.bitmap + (height - 1 - i) * width, width * sizeof(Type));
837  }
838 }
839 
871 template <class Type> void vpImageTools::flip(vpImage<Type> &I)
872 {
873  unsigned int height = I.getHeight(), width = I.getWidth();
874  vpImage<Type> Ibuf;
875  Ibuf.resize(1, width);
876 
877  for (unsigned int i = 0; i < height / 2; i++) {
878  memcpy(Ibuf.bitmap, I.bitmap + i * width, width * sizeof(Type));
879 
880  memcpy(I.bitmap + i * width, I.bitmap + (height - 1 - i) * width, width * sizeof(Type));
881  memcpy(I.bitmap + (height - 1 - i) * width, Ibuf.bitmap, width * sizeof(Type));
882  }
883 }
884 
885 template <class Type> Type vpImageTools::getPixelClamped(const vpImage<Type> &I, float u, float v)
886 {
887  int x = vpMath::round(u);
888  int y = vpMath::round(v);
889  x = (std::max)(0, (std::min)(x, static_cast<int>(I.getWidth())-1));
890  y = (std::max)(0, (std::min)(y, static_cast<int>(I.getHeight())-1));
891 
892  return I[y][x];
893 }
894 
895 // Reference:
896 // http://blog.demofox.org/2015/08/15/resizing-images-with-bicubic-interpolation/
897 template <class Type>
898 void vpImageTools::resizeBicubic(const vpImage<Type> &I, vpImage<Type> &Ires, unsigned int i,
899  unsigned int j, float u, float v, float xFrac, float yFrac)
900 {
901  // 1st row
902  Type p00 = getPixelClamped(I, u - 1, v - 1);
903  Type p01 = getPixelClamped(I, u + 0, v - 1);
904  Type p02 = getPixelClamped(I, u + 1, v - 1);
905  Type p03 = getPixelClamped(I, u + 2, v - 1);
906 
907  // 2nd row
908  Type p10 = getPixelClamped(I, u - 1, v + 0);
909  Type p11 = getPixelClamped(I, u + 0, v + 0);
910  Type p12 = getPixelClamped(I, u + 1, v + 0);
911  Type p13 = getPixelClamped(I, u + 2, v + 0);
912 
913  // 3rd row
914  Type p20 = getPixelClamped(I, u - 1, v + 1);
915  Type p21 = getPixelClamped(I, u + 0, v + 1);
916  Type p22 = getPixelClamped(I, u + 1, v + 1);
917  Type p23 = getPixelClamped(I, u + 2, v + 1);
918 
919  // 4th row
920  Type p30 = getPixelClamped(I, u - 1, v + 2);
921  Type p31 = getPixelClamped(I, u + 0, v + 2);
922  Type p32 = getPixelClamped(I, u + 1, v + 2);
923  Type p33 = getPixelClamped(I, u + 2, v + 2);
924 
925  float col0 = cubicHermite(p00, p01, p02, p03, xFrac);
926  float col1 = cubicHermite(p10, p11, p12, p13, xFrac);
927  float col2 = cubicHermite(p20, p21, p22, p23, xFrac);
928  float col3 = cubicHermite(p30, p31, p32, p33, xFrac);
929  float value = cubicHermite(col0, col1, col2, col3, yFrac);
930  Ires[i][j] = vpMath::saturate<Type>(value);
931 }
932 
933 template <>
934 inline void vpImageTools::resizeBicubic(const vpImage<vpRGBa> &I, vpImage<vpRGBa> &Ires, unsigned int i,
935  unsigned int j, float u, float v, float xFrac, float yFrac)
936 {
937  // 1st row
938  vpRGBa p00 = getPixelClamped(I, u - 1, v - 1);
939  vpRGBa p01 = getPixelClamped(I, u + 0, v - 1);
940  vpRGBa p02 = getPixelClamped(I, u + 1, v - 1);
941  vpRGBa p03 = getPixelClamped(I, u + 2, v - 1);
942 
943  // 2nd row
944  vpRGBa p10 = getPixelClamped(I, u - 1, v + 0);
945  vpRGBa p11 = getPixelClamped(I, u + 0, v + 0);
946  vpRGBa p12 = getPixelClamped(I, u + 1, v + 0);
947  vpRGBa p13 = getPixelClamped(I, u + 2, v + 0);
948 
949  // 3rd row
950  vpRGBa p20 = getPixelClamped(I, u - 1, v + 1);
951  vpRGBa p21 = getPixelClamped(I, u + 0, v + 1);
952  vpRGBa p22 = getPixelClamped(I, u + 1, v + 1);
953  vpRGBa p23 = getPixelClamped(I, u + 2, v + 1);
954 
955  // 4th row
956  vpRGBa p30 = getPixelClamped(I, u - 1, v + 2);
957  vpRGBa p31 = getPixelClamped(I, u + 0, v + 2);
958  vpRGBa p32 = getPixelClamped(I, u + 1, v + 2);
959  vpRGBa p33 = getPixelClamped(I, u + 2, v + 2);
960 
961  for (int c = 0; c < 3; c++) {
962  float col0 = cubicHermite(static_cast<float>(reinterpret_cast<unsigned char *>(&p00)[c]),
963  static_cast<float>(reinterpret_cast<unsigned char *>(&p01)[c]),
964  static_cast<float>(reinterpret_cast<unsigned char *>(&p02)[c]),
965  static_cast<float>(reinterpret_cast<unsigned char *>(&p03)[c]), xFrac);
966  float col1 = cubicHermite(static_cast<float>(reinterpret_cast<unsigned char *>(&p10)[c]),
967  static_cast<float>(reinterpret_cast<unsigned char *>(&p11)[c]),
968  static_cast<float>(reinterpret_cast<unsigned char *>(&p12)[c]),
969  static_cast<float>(reinterpret_cast<unsigned char *>(&p13)[c]), xFrac);
970  float col2 = cubicHermite(static_cast<float>(reinterpret_cast<unsigned char *>(&p20)[c]),
971  static_cast<float>(reinterpret_cast<unsigned char *>(&p21)[c]),
972  static_cast<float>(reinterpret_cast<unsigned char *>(&p22)[c]),
973  static_cast<float>(reinterpret_cast<unsigned char *>(&p23)[c]), xFrac);
974  float col3 = cubicHermite(static_cast<float>(reinterpret_cast<unsigned char *>(&p30)[c]),
975  static_cast<float>(reinterpret_cast<unsigned char *>(&p31)[c]),
976  static_cast<float>(reinterpret_cast<unsigned char *>(&p32)[c]),
977  static_cast<float>(reinterpret_cast<unsigned char *>(&p33)[c]), xFrac);
978  float value = cubicHermite(col0, col1, col2, col3, yFrac);
979 
980  reinterpret_cast<unsigned char *>(&Ires[i][j])[c] = vpMath::saturate<unsigned char>(value);
981  }
982 }
983 
984 template <class Type>
985 void vpImageTools::resizeBilinear(const vpImage<Type> &I, vpImage<Type> &Ires, unsigned int i,
986  unsigned int j, float u, float v, float xFrac, float yFrac)
987 {
988  int u0 = static_cast<int>(u);
989  int v0 = static_cast<int>(v);
990 
991  int u1 = (std::min)(static_cast<int>(I.getWidth()) - 1, u0 + 1);
992  int v1 = v0;
993 
994  int u2 = u0;
995  int v2 = (std::min)(static_cast<int>(I.getHeight()) - 1, v0 + 1);
996 
997  int u3 = u1;
998  int v3 = v2;
999 
1000  float col0 = lerp(I[v0][u0], I[v1][u1], xFrac);
1001  float col1 = lerp(I[v2][u2], I[v3][u3], xFrac);
1002  float value = lerp(col0, col1, yFrac);
1003 
1004  Ires[i][j] = vpMath::saturate<Type>(value);
1005 }
1006 
1007 template <>
1008 inline void vpImageTools::resizeBilinear(const vpImage<vpRGBa> &I, vpImage<vpRGBa> &Ires, unsigned int i,
1009  unsigned int j, float u, float v, float xFrac, float yFrac)
1010 {
1011  int u0 = static_cast<int>(u);
1012  int v0 = static_cast<int>(v);
1013 
1014  int u1 = (std::min)(static_cast<int>(I.getWidth()) - 1, u0 + 1);
1015  int v1 = v0;
1016 
1017  int u2 = u0;
1018  int v2 = (std::min)(static_cast<int>(I.getHeight()) - 1, v0 + 1);
1019 
1020  int u3 = u1;
1021  int v3 = v2;
1022 
1023  for (int c = 0; c < 3; c++) {
1024  float col0 = lerp(static_cast<float>(reinterpret_cast<const unsigned char *>(&I[v0][u0])[c]),
1025  static_cast<float>(reinterpret_cast<const unsigned char *>(&I[v1][u1])[c]), xFrac);
1026  float col1 = lerp(static_cast<float>(reinterpret_cast<const unsigned char *>(&I[v2][u2])[c]),
1027  static_cast<float>(reinterpret_cast<const unsigned char *>(&I[v3][u3])[c]), xFrac);
1028  float value = lerp(col0, col1, yFrac);
1029 
1030  reinterpret_cast<unsigned char *>(&Ires[i][j])[c] = vpMath::saturate<unsigned char>(value);
1031  }
1032 }
1033 
1034 template <class Type>
1035 void vpImageTools::resizeNearest(const vpImage<Type> &I, vpImage<Type> &Ires, unsigned int i,
1036  unsigned int j, float u, float v)
1037 {
1038  Ires[i][j] = getPixelClamped(I, u, v);
1039 }
1040 
1059 template <class Type>
1060 void vpImageTools::resize(const vpImage<Type> &I, vpImage<Type> &Ires, unsigned int width,
1061  unsigned int height, const vpImageInterpolationType &method,
1062  unsigned int nThreads)
1063 {
1064  Ires.resize(height, width);
1065 
1066  vpImageTools::resize(I, Ires, method, nThreads);
1067 }
1068 
1086 template <class Type>
1088  unsigned int
1089  #if defined _OPENMP
1090  nThreads
1091  #endif
1092  )
1093 {
1094  if (I.getWidth() < 2 || I.getHeight() < 2 || Ires.getWidth() < 2 || Ires.getHeight() < 2) {
1095  std::cerr << "Input or output image is too small!" << std::endl;
1096  return;
1097  }
1098 
1099  if (method == INTERPOLATION_AREA) {
1100  std::cerr << "INTERPOLATION_AREA is not implemented for this type." << std::endl;
1101  return;
1102  }
1103 
1104  const float scaleY = I.getHeight() / static_cast<float>(Ires.getHeight());
1105  const float scaleX = I.getWidth() / static_cast<float>(Ires.getWidth());
1106  const float half = 0.5f;
1107 
1108 #if defined _OPENMP
1109  if (nThreads > 0) {
1110  omp_set_num_threads(static_cast<int>(nThreads));
1111  }
1112  #pragma omp parallel for schedule(dynamic)
1113 #endif
1114  for (int i = 0; i < static_cast<int>(Ires.getHeight()); i++) {
1115  const float v = (i + half) * scaleY - half;
1116  const int v0 = static_cast<int>(v);
1117  const float yFrac = v - v0;
1118 
1119  for (unsigned int j = 0; j < Ires.getWidth(); j++) {
1120  const float u = (j + half) * scaleX - half;
1121  const int u0 = static_cast<int>(u);
1122  const float xFrac = u - u0;
1123 
1124  if (method == INTERPOLATION_NEAREST) {
1125  resizeNearest(I, Ires, static_cast<unsigned int>(i), j, u, v);
1126  } else if (method == INTERPOLATION_LINEAR) {
1127  resizeBilinear(I, Ires, static_cast<unsigned int>(i), j, u0, v0, xFrac, yFrac);
1128  } else if (method == INTERPOLATION_CUBIC) {
1129  resizeBicubic(I, Ires, static_cast<unsigned int>(i), j, u, v, xFrac, yFrac);
1130  }
1131  }
1132  }
1133 }
1134 
1135 template <> inline
1137  const vpImageInterpolationType &method, unsigned int
1138  #if defined _OPENMP
1139  nThreads
1140  #endif
1141  )
1142 {
1143  if (I.getWidth() < 2 || I.getHeight() < 2 || Ires.getWidth() < 2 || Ires.getHeight() < 2) {
1144  std::cerr << "Input or output image is too small!" << std::endl;
1145  return;
1146  }
1147 
1148  if (method == INTERPOLATION_AREA) {
1149  resizeSimdlib(I, Ires.getWidth(), Ires.getHeight(), Ires, INTERPOLATION_AREA);
1150  } else if (method == INTERPOLATION_LINEAR) {
1151  resizeSimdlib(I, Ires.getWidth(), Ires.getHeight(), Ires, INTERPOLATION_LINEAR);
1152  } else {
1153  const float scaleY = I.getHeight() / static_cast<float>(Ires.getHeight());
1154  const float scaleX = I.getWidth() / static_cast<float>(Ires.getWidth());
1155  const float half = 0.5f;
1156 
1157 #if defined _OPENMP
1158  if (nThreads > 0) {
1159  omp_set_num_threads(static_cast<int>(nThreads));
1160  }
1161 #pragma omp parallel for schedule(dynamic)
1162 #endif
1163  for (int i = 0; i < static_cast<int>(Ires.getHeight()); i++) {
1164  float v = (i + half) * scaleY - half;
1165  float yFrac = v - static_cast<int>(v);
1166 
1167  for (unsigned int j = 0; j < Ires.getWidth(); j++) {
1168  float u = (j + half) * scaleX - half;
1169  float xFrac = u - static_cast<int>(u);
1170 
1171  if (method == INTERPOLATION_NEAREST) {
1172  resizeNearest(I, Ires, static_cast<unsigned int>(i), j, u, v);
1173  } else if (method == INTERPOLATION_CUBIC) {
1174  resizeBicubic(I, Ires, static_cast<unsigned int>(i), j, u, v, xFrac, yFrac);
1175  }
1176  }
1177  }
1178  }
1179 }
1180 
1181 template <> inline
1183  const vpImageInterpolationType &method, unsigned int
1184  #if defined _OPENMP
1185  nThreads
1186  #endif
1187  )
1188 {
1189  if (I.getWidth() < 2 || I.getHeight() < 2 || Ires.getWidth() < 2 || Ires.getHeight() < 2) {
1190  std::cerr << "Input or output image is too small!" << std::endl;
1191  return;
1192  }
1193 
1194  if (method == INTERPOLATION_AREA) {
1195  resizeSimdlib(I, Ires.getWidth(), Ires.getHeight(), Ires, INTERPOLATION_AREA);
1196  } else if (method == INTERPOLATION_LINEAR) {
1197  resizeSimdlib(I, Ires.getWidth(), Ires.getHeight(), Ires, INTERPOLATION_LINEAR);
1198  } else {
1199  const float scaleY = I.getHeight() / static_cast<float>(Ires.getHeight());
1200  const float scaleX = I.getWidth() / static_cast<float>(Ires.getWidth());
1201  const float half = 0.5f;
1202 
1203  #if defined _OPENMP
1204  if (nThreads > 0) {
1205  omp_set_num_threads(static_cast<int>(nThreads));
1206  }
1207  #pragma omp parallel for schedule(dynamic)
1208  #endif
1209  for (int i = 0; i < static_cast<int>(Ires.getHeight()); i++) {
1210  float v = (i + half) * scaleY - half;
1211  float yFrac = v - static_cast<int>(v);
1212 
1213  for (unsigned int j = 0; j < Ires.getWidth(); j++) {
1214  float u = (j + half) * scaleX - half;
1215  float xFrac = u - static_cast<int>(u);
1216 
1217  if (method == INTERPOLATION_NEAREST) {
1218  resizeNearest(I, Ires, static_cast<unsigned int>(i), j, u, v);
1219  } else if (method == INTERPOLATION_CUBIC) {
1220  resizeBicubic(I, Ires, static_cast<unsigned int>(i), j, u, v, xFrac, yFrac);
1221  }
1222  }
1223  }
1224  }
1225 }
1226 
1241 template <class Type>
1243  const vpImageInterpolationType &interpolation,
1244  bool fixedPointArithmetic, bool pixelCenter)
1245 {
1246  if ((T.getRows() != 2 && T.getRows() != 3) || T.getCols() != 3) {
1247  std::cerr << "Input transformation must be a (2x3) or (3x3) matrix." << std::endl;
1248  return;
1249  }
1250 
1251  if (src.getSize() == 0) {
1252  return;
1253  }
1254 
1255  const bool affine = (T.getRows() == 2);
1256  const bool interp_NN = (interpolation == INTERPOLATION_NEAREST) || (interpolation == INTERPOLATION_CUBIC);
1257 
1258  if (dst.getSize() == 0) {
1259  dst.resize(src.getHeight(), src.getWidth(), Type(0));
1260  }
1261 
1262  vpMatrix M = T;
1263  if (affine) {
1264  double D = M[0][0] * M[1][1] - M[0][1] * M[1][0];
1265  D = !vpMath::nul(D, std::numeric_limits<double>::epsilon()) ? 1.0 / D : 0;
1266  double A11 = M[1][1] * D, A22 = M[0][0] * D;
1267  M[0][0] = A11; M[0][1] *= -D;
1268  M[1][0] *= -D; M[1][1] = A22;
1269  double b1 = -M[0][0] * M[0][2] - M[0][1] * M[1][2];
1270  double b2 = -M[1][0] * M[0][2] - M[1][1] * M[1][2];
1271  M[0][2] = b1; M[1][2] = b2;
1272  } else {
1273  M = T.inverseByLU();
1274  }
1275 
1276  if (fixedPointArithmetic && !pixelCenter) {
1277  fixedPointArithmetic = checkFixedPoint(0, 0, M, affine) &&
1278  checkFixedPoint(dst.getWidth()-1, 0, M, affine) &&
1279  checkFixedPoint(0, dst.getHeight()-1, M, affine) &&
1280  checkFixedPoint(dst.getWidth() - 1, dst.getHeight() - 1, M, affine);
1281  }
1282 
1283  if (interp_NN) {
1284  //nearest neighbor interpolation
1285  warpNN(src, M, dst, affine, pixelCenter, fixedPointArithmetic);
1286  } else {
1287  //bilinear interpolation
1288  warpLinear(src, M, dst, affine, pixelCenter, fixedPointArithmetic);
1289  }
1290 }
1291 
1292 template <class Type>
1293 void vpImageTools::warpNN(const vpImage<Type> &src, const vpMatrix &T, vpImage<Type> &dst, bool affine,
1294  bool centerCorner, bool fixedPoint)
1295 {
1296  if (fixedPoint && !centerCorner) {
1297  const int nbits = 16;
1298  const int32_t precision = 1 << nbits;
1299  const float precision_1 = 1 / static_cast<float>(precision);
1300 
1301  int32_t a0_i32 = static_cast<int32_t>(T[0][0] * precision);
1302  int32_t a1_i32 = static_cast<int32_t>(T[0][1] * precision);
1303  int32_t a2_i32 = static_cast<int32_t>(T[0][2] * precision);
1304  int32_t a3_i32 = static_cast<int32_t>(T[1][0] * precision);
1305  int32_t a4_i32 = static_cast<int32_t>(T[1][1] * precision);
1306  int32_t a5_i32 = static_cast<int32_t>(T[1][2] * precision);
1307  int32_t a6_i32 = T.getRows() == 3 ? static_cast<int32_t>(T[2][0] * precision) : 0;
1308  int32_t a7_i32 = T.getRows() == 3 ? static_cast<int32_t>(T[2][1] * precision) : 0;
1309  int32_t a8_i32 = T.getRows() == 3 ? static_cast<int32_t>(T[2][2] * precision) : 1;
1310 
1311  int32_t height_1_i32 = static_cast<int32_t>((src.getHeight() - 1) * precision) + 0x8000;
1312  int32_t width_1_i32 = static_cast<int32_t>((src.getWidth() - 1) * precision) + 0x8000;
1313 
1314  if (affine) {
1315  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1316  int32_t xi = a2_i32;
1317  int32_t yi = a5_i32;
1318 
1319  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1320  if (yi >= 0 && yi < height_1_i32 && xi >= 0 && xi < width_1_i32) {
1321  float x_ = (xi >> nbits) + (xi & 0xFFFF) * precision_1;
1322  float y_ = (yi >> nbits) + (yi & 0xFFFF) * precision_1;
1323 
1324  int x = vpMath::round(x_);
1325  int y = vpMath::round(y_);
1326  dst[i][j] = src[y][x];
1327  }
1328 
1329  xi += a0_i32;
1330  yi += a3_i32;
1331  }
1332 
1333  a2_i32 += a1_i32;
1334  a5_i32 += a4_i32;
1335  }
1336  } else {
1337  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1338  int64_t xi = a2_i32;
1339  int64_t yi = a5_i32;
1340  int64_t wi = a8_i32;
1341 
1342  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1343  if (wi != 0 && yi >= 0 && yi <= (static_cast<int>(src.getHeight()) - 1)*wi &&
1344  xi >= 0 && xi <= (static_cast<int>(src.getWidth()) - 1)*wi) {
1345  float w_ = (wi >> nbits) + (wi & 0xFFFF) * precision_1;
1346  float x_ = ((xi >> nbits) + (xi & 0xFFFF) * precision_1) / w_;
1347  float y_ = ((yi >> nbits) + (yi & 0xFFFF) * precision_1) / w_;
1348 
1349  int x = vpMath::round(x_);
1350  int y = vpMath::round(y_);
1351 
1352  dst[i][j] = src[y][x];
1353  }
1354 
1355  xi += a0_i32;
1356  yi += a3_i32;
1357  wi += a6_i32;
1358  }
1359 
1360  a2_i32 += a1_i32;
1361  a5_i32 += a4_i32;
1362  a8_i32 += a7_i32;
1363  }
1364  }
1365  } else {
1366  double a0 = T[0][0]; double a1 = T[0][1]; double a2 = T[0][2];
1367  double a3 = T[1][0]; double a4 = T[1][1]; double a5 = T[1][2];
1368  double a6 = affine ? 0.0 : T[2][0];
1369  double a7 = affine ? 0.0 : T[2][1];
1370  double a8 = affine ? 1.0 : T[2][2];
1371 
1372  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1373  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1374  double x = a0 * (centerCorner ? j + 0.5 : j) + a1 * (centerCorner ? i + 0.5 : i) + a2;
1375  double y = a3 * (centerCorner ? j + 0.5 : j) + a4 * (centerCorner ? i + 0.5 : i) + a5;
1376  double w = a6 * (centerCorner ? j + 0.5 : j) + a7 * (centerCorner ? i + 0.5 : i) + a8;
1377 
1378  if (vpMath::nul(w, std::numeric_limits<double>::epsilon())) {
1379  w = 1.0;
1380  }
1381 
1382  int x_ = centerCorner ? coordCast(x / w) : vpMath::round(x / w);
1383  int y_ = centerCorner ? coordCast(y / w) : vpMath::round(y / w);
1384 
1385  if (x_ >= 0 && x_ < static_cast<int>(src.getWidth()) &&
1386  y_ >= 0 && y_ < static_cast<int>(src.getHeight())) {
1387  dst[i][j] = src[y_][x_];
1388  }
1389  }
1390  }
1391  }
1392 }
1393 
1394 template <class Type>
1395 void vpImageTools::warpLinear(const vpImage<Type> &src, const vpMatrix &T, vpImage<Type> &dst, bool affine,
1396  bool centerCorner, bool fixedPoint)
1397 {
1398  if (fixedPoint && !centerCorner) {
1399  const int nbits = 16;
1400  const int64_t precision = 1 << nbits;
1401  const float precision_1 = 1 / static_cast<float>(precision);
1402  const int64_t precision2 = 1ULL << (2 * nbits);
1403  const float precision_2 = 1 / static_cast<float>(precision2);
1404 
1405  int64_t a0_i64 = static_cast<int64_t>(T[0][0] * precision);
1406  int64_t a1_i64 = static_cast<int64_t>(T[0][1] * precision);
1407  int64_t a2_i64 = static_cast<int64_t>(T[0][2] * precision);
1408  int64_t a3_i64 = static_cast<int64_t>(T[1][0] * precision);
1409  int64_t a4_i64 = static_cast<int64_t>(T[1][1] * precision);
1410  int64_t a5_i64 = static_cast<int64_t>(T[1][2] * precision);
1411  int64_t a6_i64 = T.getRows() == 3 ? static_cast<int64_t>(T[2][0] * precision) : 0;
1412  int64_t a7_i64 = T.getRows() == 3 ? static_cast<int64_t>(T[2][1] * precision) : 0;
1413  int64_t a8_i64 = T.getRows() == 3 ? static_cast<int64_t>(T[2][2] * precision) : 1;
1414 
1415  int64_t height_i64 = static_cast<int64_t>(src.getHeight() * precision);
1416  int64_t width_i64 = static_cast<int64_t>(src.getWidth() * precision);
1417 
1418  if (affine) {
1419  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1420  int64_t xi_ = a2_i64;
1421  int64_t yi_ = a5_i64;
1422 
1423  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1424  if (yi_ >= 0 && yi_ < height_i64 && xi_ >= 0 && xi_ < width_i64) {
1425  const int64_t xi_lower = xi_ & (~0xFFFF);
1426  const int64_t yi_lower = yi_ & (~0xFFFF);
1427 
1428  const int64_t t = yi_ - yi_lower;
1429  const int64_t t_1 = precision - t;
1430  const int64_t s = xi_ - xi_lower;
1431  const int64_t s_1 = precision - s;
1432 
1433  const int x_ = static_cast<int>(xi_ >> nbits);
1434  const int y_ = static_cast<int>(yi_ >> nbits);
1435 
1436  if (y_ < static_cast<int>(src.getHeight())-1 && x_ < static_cast<int>(src.getWidth())-1) {
1437  const Type val00 = src[y_][x_];
1438  const Type val01 = src[y_][x_+1];
1439  const Type val10 = src[y_+1][x_];
1440  const Type val11 = src[y_+1][x_+1];
1441  const int64_t interp_i64 = static_cast<int64_t>(s_1*t_1*val00 + s*t_1*val01 + s_1*t*val10 + s*t*val11);
1442  const float interp = (interp_i64 >> (nbits*2)) + (interp_i64 & 0xFFFFFFFF) * precision_2;
1443  dst[i][j] = vpMath::saturate<Type>(interp);
1444  } else if (y_ < static_cast<int>(src.getHeight())-1) {
1445  const Type val00 = src[y_][x_];
1446  const Type val10 = src[y_+1][x_];
1447  const int64_t interp_i64 = static_cast<int64_t>(t_1*val00 + t*val10);
1448  const float interp = (interp_i64 >> nbits) + (interp_i64 & 0xFFFF) * precision_1;
1449  dst[i][j] = vpMath::saturate<Type>(interp);
1450  } else if (x_ < static_cast<int>(src.getWidth())-1) {
1451  const Type val00 = src[y_][x_];
1452  const Type val01 = src[y_][x_+1];
1453  const int64_t interp_i64 = static_cast<int64_t>(s_1*val00 + s*val01);
1454  const float interp = (interp_i64 >> nbits) + (interp_i64 & 0xFFFF) * precision_1;
1455  dst[i][j] = vpMath::saturate<Type>(interp);
1456  } else {
1457  dst[i][j] = src[y_][x_];
1458  }
1459  }
1460 
1461  xi_ += a0_i64;
1462  yi_ += a3_i64;
1463  }
1464 
1465  a2_i64 += a1_i64;
1466  a5_i64 += a4_i64;
1467  }
1468  } else {
1469  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1470  int64_t xi = a2_i64;
1471  int64_t yi = a5_i64;
1472  int64_t wi = a8_i64;
1473 
1474  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1475  if (wi != 0 && yi >= 0 && yi <= (static_cast<int>(src.getHeight()) - 1)*wi &&
1476  xi >= 0 && xi <= (static_cast<int>(src.getWidth()) - 1)*wi) {
1477  const float wi_ = (wi >> nbits) + (wi & 0xFFFF) * precision_1;
1478  const float xi_ = ((xi >> nbits) + (xi & 0xFFFF) * precision_1) / wi_;
1479  const float yi_ = ((yi >> nbits) + (yi & 0xFFFF) * precision_1) / wi_;
1480 
1481  const int x_ = static_cast<int>(xi_);
1482  const int y_ = static_cast<int>(yi_);
1483 
1484  const float t = yi_ - y_;
1485  const float s = xi_ - x_;
1486 
1487  if (y_ < static_cast<int>(src.getHeight()) - 1 && x_ < static_cast<int>(src.getWidth()) - 1) {
1488  const Type val00 = src[y_][x_];
1489  const Type val01 = src[y_][x_ + 1];
1490  const Type val10 = src[y_ + 1][x_];
1491  const Type val11 = src[y_ + 1][x_ + 1];
1492  const float col0 = lerp(val00, val01, s);
1493  const float col1 = lerp(val10, val11, s);
1494  const float interp = lerp(col0, col1, t);
1495  dst[i][j] = vpMath::saturate<Type>(interp);
1496  } else if (y_ < static_cast<int>(src.getHeight()) - 1) {
1497  const Type val00 = src[y_][x_];
1498  const Type val10 = src[y_ + 1][x_];
1499  const float interp = lerp(val00, val10, t);
1500  dst[i][j] = vpMath::saturate<Type>(interp);
1501  } else if (x_ < static_cast<int>(src.getWidth()) - 1) {
1502  const Type val00 = src[y_][x_];
1503  const Type val01 = src[y_][x_ + 1];
1504  const float interp = lerp(val00, val01, s);
1505  dst[i][j] = vpMath::saturate<Type>(interp);
1506  } else {
1507  dst[i][j] = src[y_][x_];
1508  }
1509  }
1510 
1511  xi += a0_i64;
1512  yi += a3_i64;
1513  wi += a6_i64;
1514  }
1515 
1516  a2_i64 += a1_i64;
1517  a5_i64 += a4_i64;
1518  a8_i64 += a7_i64;
1519  }
1520  }
1521  } else {
1522  double a0 = T[0][0]; double a1 = T[0][1]; double a2 = T[0][2];
1523  double a3 = T[1][0]; double a4 = T[1][1]; double a5 = T[1][2];
1524  double a6 = affine ? 0.0 : T[2][0];
1525  double a7 = affine ? 0.0 : T[2][1];
1526  double a8 = affine ? 1.0 : T[2][2];
1527 
1528  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1529  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1530  double x = a0 * (centerCorner ? j + 0.5 : j) + a1 * (centerCorner ? i + 0.5 : i) + a2;
1531  double y = a3 * (centerCorner ? j + 0.5 : j) + a4 * (centerCorner ? i + 0.5 : i) + a5;
1532  double w = a6 * (centerCorner ? j + 0.5 : j) + a7 * (centerCorner ? i + 0.5 : i) + a8;
1533  if (vpMath::nul(w, std::numeric_limits<double>::epsilon())) {
1534  w = 1;
1535  }
1536 
1537  x = x / w - (centerCorner ? 0.5 : 0);
1538  y = y / w - (centerCorner ? 0.5 : 0);
1539 
1540  int x_lower = static_cast<int>(x);
1541  int y_lower = static_cast<int>(y);
1542 
1543  if (y_lower >= static_cast<int>(src.getHeight()) || x_lower >= static_cast<int>(src.getWidth()) ||
1544  y < 0 || x < 0) {
1545  continue;
1546  }
1547 
1548  double s = x - x_lower;
1549  double t = y - y_lower;
1550 
1551  if (y_lower < static_cast<int>(src.getHeight())-1 && x_lower < static_cast<int>(src.getWidth())-1) {
1552  const Type val00 = src[y_lower][x_lower];
1553  const Type val01 = src[y_lower][x_lower + 1];
1554  const Type val10 = src[y_lower + 1][x_lower];
1555  const Type val11 = src[y_lower + 1][x_lower + 1];
1556  const double col0 = lerp(val00, val01, s);
1557  const double col1 = lerp(val10, val11, s);
1558  const double interp = lerp(col0, col1, t);
1559  dst[i][j] = vpMath::saturate<Type>(interp);
1560  } else if (y_lower < static_cast<int>(src.getHeight())-1) {
1561  const Type val00 = src[y_lower][x_lower];
1562  const Type val10 = src[y_lower + 1][x_lower];
1563  const double interp = lerp(val00, val10, t);
1564  dst[i][j] = vpMath::saturate<Type>(interp);
1565  } else if (x_lower < static_cast<int>(src.getWidth())-1) {
1566  const Type val00 = src[y_lower][x_lower];
1567  const Type val01 = src[y_lower][x_lower + 1];
1568  const double interp = lerp(val00, val01, s);
1569  dst[i][j] = vpMath::saturate<Type>(interp);
1570  } else {
1571  dst[i][j] = src[y_lower][x_lower];
1572  }
1573  }
1574  }
1575  }
1576 }
1577 
1578 template <> inline
1579 void vpImageTools::warpLinear(const vpImage<vpRGBa> &src, const vpMatrix &T, vpImage<vpRGBa> &dst, bool affine,
1580  bool centerCorner, bool fixedPoint)
1581 {
1582  if (fixedPoint && !centerCorner) {
1583  const int nbits = 16;
1584  const int64_t precision = 1 << nbits;
1585  const float precision_1 = 1 / static_cast<float>(precision);
1586  const int64_t precision2 = 1ULL << (2 * nbits);
1587  const float precision_2 = 1 / static_cast<float>(precision2);
1588 
1589  int64_t a0_i64 = static_cast<int64_t>(T[0][0] * precision);
1590  int64_t a1_i64 = static_cast<int64_t>(T[0][1] * precision);
1591  int64_t a2_i64 = static_cast<int64_t>(T[0][2] * precision);
1592  int64_t a3_i64 = static_cast<int64_t>(T[1][0] * precision);
1593  int64_t a4_i64 = static_cast<int64_t>(T[1][1] * precision);
1594  int64_t a5_i64 = static_cast<int64_t>(T[1][2] * precision);
1595  int64_t a6_i64 = T.getRows() == 3 ? static_cast<int64_t>(T[2][0] * precision) : 0;
1596  int64_t a7_i64 = T.getRows() == 3 ? static_cast<int64_t>(T[2][1] * precision) : 0;
1597  int64_t a8_i64 = precision;
1598 
1599  int64_t height_i64 = static_cast<int64_t>(src.getHeight() * precision);
1600  int64_t width_i64 = static_cast<int64_t>(src.getWidth() * precision);
1601 
1602  if (affine) {
1603  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1604  int64_t xi = a2_i64;
1605  int64_t yi = a5_i64;
1606 
1607  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1608  if (yi >= 0 && yi < height_i64 && xi >= 0 && xi < width_i64) {
1609  const int64_t xi_lower = xi & (~0xFFFF);
1610  const int64_t yi_lower = yi & (~0xFFFF);
1611 
1612  const int64_t t = yi - yi_lower;
1613  const int64_t t_1 = precision - t;
1614  const int64_t s = xi - xi_lower;
1615  const int64_t s_1 = precision - s;
1616 
1617  const int x_ = static_cast<int>(xi >> nbits);
1618  const int y_ = static_cast<int>(yi >> nbits);
1619 
1620  if (y_ < static_cast<int>(src.getHeight())-1 && x_ < static_cast<int>(src.getWidth())-1) {
1621  const vpRGBa val00 = src[y_][x_];
1622  const vpRGBa val01 = src[y_][x_+1];
1623  const vpRGBa val10 = src[y_+1][x_];
1624  const vpRGBa val11 = src[y_+1][x_+1];
1625  const int64_t interpR_i64 = static_cast<int64_t>(s_1*t_1*val00.R + s * t_1*val01.R + s_1 * t*val10.R + s * t*val11.R);
1626  const float interpR = (interpR_i64 >> (nbits*2)) + (interpR_i64 & 0xFFFFFFFF) * precision_2;
1627 
1628  const int64_t interpG_i64 = static_cast<int64_t>(s_1*t_1*val00.G + s * t_1*val01.G + s_1 * t*val10.G + s * t*val11.G);
1629  const float interpG = (interpG_i64 >> (nbits * 2)) + (interpG_i64 & 0xFFFFFFFF) * precision_2;
1630 
1631  const int64_t interpB_i64 = static_cast<int64_t>(s_1*t_1*val00.B + s * t_1*val01.B + s_1 * t*val10.B + s * t*val11.B);
1632  const float interpB = (interpB_i64 >> (nbits * 2)) + (interpB_i64 & 0xFFFFFFFF) * precision_2;
1633 
1634  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1635  vpMath::saturate<unsigned char>(interpG),
1636  vpMath::saturate<unsigned char>(interpB),
1637  255);
1638  } else if (y_ < static_cast<int>(src.getHeight())-1) {
1639  const vpRGBa val00 = src[y_][x_];
1640  const vpRGBa val10 = src[y_+1][x_];
1641  const int64_t interpR_i64 = static_cast<int64_t>(t_1*val00.R + t*val10.R);
1642  const float interpR = (interpR_i64 >> nbits) + (interpR_i64 & 0xFFFF) * precision_1;
1643 
1644  const int64_t interpG_i64 = static_cast<int64_t>(t_1*val00.G + t * val10.G);
1645  const float interpG = (interpG_i64 >> nbits) + (interpG_i64 & 0xFFFF) * precision_1;
1646 
1647  const int64_t interpB_i64 = static_cast<int64_t>(t_1*val00.B + t * val10.B);
1648  const float interpB = (interpB_i64 >> nbits) + (interpB_i64 & 0xFFFF) * precision_1;
1649 
1650  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1651  vpMath::saturate<unsigned char>(interpG),
1652  vpMath::saturate<unsigned char>(interpB),
1653  255);
1654  } else if (x_ < static_cast<int>(src.getWidth())-1) {
1655  const vpRGBa val00 = src[y_][x_];
1656  const vpRGBa val01 = src[y_][x_+1];
1657  const int64_t interpR_i64 = static_cast<int64_t>(s_1*val00.R + s*val01.R);
1658  const float interpR = (interpR_i64 >> nbits) + (interpR_i64 & 0xFFFF) * precision_1;
1659 
1660  const int64_t interpG_i64 = static_cast<int64_t>(s_1*val00.G + s * val01.G);
1661  const float interpG = (interpG_i64 >> nbits) + (interpG_i64 & 0xFFFF) * precision_1;
1662 
1663  const int64_t interpB_i64 = static_cast<int64_t>(s_1*val00.B + s * val01.B);
1664  const float interpB = (interpB_i64 >> nbits) + (interpB_i64 & 0xFFFF) * precision_1;
1665 
1666  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1667  vpMath::saturate<unsigned char>(interpG),
1668  vpMath::saturate<unsigned char>(interpB),
1669  255);
1670  } else {
1671  dst[i][j] = src[y_][x_];
1672  }
1673  }
1674 
1675  xi += a0_i64;
1676  yi += a3_i64;
1677  }
1678 
1679  a2_i64 += a1_i64;
1680  a5_i64 += a4_i64;
1681  }
1682  } else {
1683  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1684  int64_t xi = a2_i64;
1685  int64_t yi = a5_i64;
1686  int64_t wi = a8_i64;
1687 
1688  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1689  if (yi >= 0 && yi <= (static_cast<int>(src.getHeight()) - 1)*wi &&
1690  xi >= 0 && xi <= (static_cast<int>(src.getWidth()) - 1)*wi) {
1691  const float wi_ = (wi >> nbits) + (wi & 0xFFFF) * precision_1;
1692  const float xi_ = ((xi >> nbits) + (xi & 0xFFFF) * precision_1) / wi_;
1693  const float yi_ = ((yi >> nbits) + (yi & 0xFFFF) * precision_1) / wi_;
1694 
1695  const int x_ = static_cast<int>(xi_);
1696  const int y_ = static_cast<int>(yi_);
1697 
1698  const float t = yi_ - y_;
1699  const float s = xi_ - x_;
1700 
1701  if (y_ < static_cast<int>(src.getHeight()) - 1 && x_ < static_cast<int>(src.getWidth()) - 1) {
1702  const vpRGBa val00 = src[y_][x_];
1703  const vpRGBa val01 = src[y_][x_ + 1];
1704  const vpRGBa val10 = src[y_ + 1][x_];
1705  const vpRGBa val11 = src[y_ + 1][x_ + 1];
1706  const float colR0 = lerp(val00.R, val01.R, s);
1707  const float colR1 = lerp(val10.R, val11.R, s);
1708  const float interpR = lerp(colR0, colR1, t);
1709 
1710  const float colG0 = lerp(val00.G, val01.G, s);
1711  const float colG1 = lerp(val10.G, val11.G, s);
1712  const float interpG = lerp(colG0, colG1, t);
1713 
1714  const float colB0 = lerp(val00.B, val01.B, s);
1715  const float colB1 = lerp(val10.B, val11.B, s);
1716  const float interpB = lerp(colB0, colB1, t);
1717 
1718  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1719  vpMath::saturate<unsigned char>(interpG),
1720  vpMath::saturate<unsigned char>(interpB),
1721  255);
1722  } else if (y_ < static_cast<int>(src.getHeight()) - 1) {
1723  const vpRGBa val00 = src[y_][x_];
1724  const vpRGBa val10 = src[y_ + 1][x_];
1725  const float interpR = lerp(val00.R, val10.R, t);
1726  const float interpG = lerp(val00.G, val10.G, t);
1727  const float interpB = lerp(val00.B, val10.B, t);
1728 
1729  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1730  vpMath::saturate<unsigned char>(interpG),
1731  vpMath::saturate<unsigned char>(interpB),
1732  255);
1733  } else if (x_ < static_cast<int>(src.getWidth()) - 1) {
1734  const vpRGBa val00 = src[y_][x_];
1735  const vpRGBa val01 = src[y_][x_ + 1];
1736  const float interpR = lerp(val00.R, val01.R, s);
1737  const float interpG = lerp(val00.G, val01.G, s);
1738  const float interpB = lerp(val00.B, val01.B, s);
1739 
1740  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1741  vpMath::saturate<unsigned char>(interpG),
1742  vpMath::saturate<unsigned char>(interpB),
1743  255);
1744  } else {
1745  dst[i][j] = src[y_][x_];
1746  }
1747  }
1748 
1749  xi += a0_i64;
1750  yi += a3_i64;
1751  wi += a6_i64;
1752  }
1753 
1754  a2_i64 += a1_i64;
1755  a5_i64 += a4_i64;
1756  a8_i64 += a7_i64;
1757  }
1758  }
1759  } else {
1760  double a0 = T[0][0]; double a1 = T[0][1]; double a2 = T[0][2];
1761  double a3 = T[1][0]; double a4 = T[1][1]; double a5 = T[1][2];
1762  double a6 = affine ? 0.0 : T[2][0];
1763  double a7 = affine ? 0.0 : T[2][1];
1764  double a8 = affine ? 1.0 : T[2][2];
1765 
1766  for (unsigned int i = 0; i < dst.getHeight(); i++) {
1767  for (unsigned int j = 0; j < dst.getWidth(); j++) {
1768  double x = a0 * (centerCorner ? j + 0.5 : j) + a1 * (centerCorner ? i + 0.5 : i) + a2;
1769  double y = a3 * (centerCorner ? j + 0.5 : j) + a4 * (centerCorner ? i + 0.5 : i) + a5;
1770  double w = a6 * (centerCorner ? j + 0.5 : j) + a7 * (centerCorner ? i + 0.5 : i) + a8;
1771 
1772  x = x / w - (centerCorner ? 0.5 : 0);
1773  y = y / w - (centerCorner ? 0.5 : 0);
1774 
1775  int x_lower = static_cast<int>(x);
1776  int y_lower = static_cast<int>(y);
1777 
1778  if (y_lower >= static_cast<int>(src.getHeight()) || x_lower >= static_cast<int>(src.getWidth()) ||
1779  y < 0 || x < 0) {
1780  continue;
1781  }
1782 
1783  double s = x - x_lower;
1784  double t = y - y_lower;
1785 
1786  if (y_lower < static_cast<int>(src.getHeight())-1 && x_lower < static_cast<int>(src.getWidth())-1) {
1787  const vpRGBa val00 = src[y_lower][x_lower];
1788  const vpRGBa val01 = src[y_lower][x_lower +1];
1789  const vpRGBa val10 = src[y_lower +1][x_lower];
1790  const vpRGBa val11 = src[y_lower +1][x_lower +1];
1791  const double colR0 = lerp(val00.R, val01.R, s);
1792  const double colR1 = lerp(val10.R, val11.R, s);
1793  const double interpR = lerp(colR0, colR1, t);
1794 
1795  const double colG0 = lerp(val00.G, val01.G, s);
1796  const double colG1 = lerp(val10.G, val11.G, s);
1797  const double interpG = lerp(colG0, colG1, t);
1798 
1799  const double colB0 = lerp(val00.B, val01.B, s);
1800  const double colB1 = lerp(val10.B, val11.B, s);
1801  const double interpB = lerp(colB0, colB1, t);
1802 
1803  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1804  vpMath::saturate<unsigned char>(interpG),
1805  vpMath::saturate<unsigned char>(interpB),
1806  255);
1807  } else if (y_lower < static_cast<int>(src.getHeight())-1) {
1808  const vpRGBa val00 = src[y_lower][x_lower];
1809  const vpRGBa val10 = src[y_lower +1][x_lower];
1810  const double interpR = lerp(val00.R, val10.R, t);
1811  const double interpG = lerp(val00.G, val10.G, t);
1812  const double interpB = lerp(val00.B, val10.B, t);
1813 
1814  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1815  vpMath::saturate<unsigned char>(interpG),
1816  vpMath::saturate<unsigned char>(interpB),
1817  255);
1818  } else if (x_lower < static_cast<int>(src.getWidth())-1) {
1819  const vpRGBa val00 = src[y_lower][x_lower];
1820  const vpRGBa val01 = src[y_lower][x_lower +1];
1821  const double interpR = lerp(val00.R, val01.R, s);
1822  const double interpG = lerp(val00.G, val01.G, s);
1823  const double interpB = lerp(val00.B, val01.B, s);
1824 
1825  dst[i][j] = vpRGBa(vpMath::saturate<unsigned char>(interpR),
1826  vpMath::saturate<unsigned char>(interpG),
1827  vpMath::saturate<unsigned char>(interpB),
1828  255);
1829  } else {
1830  dst[i][j] = src[y_lower][x_lower];
1831  }
1832  }
1833  }
1834  }
1835 }
1836 
1837 #endif
Implementation of a matrix and operations on matrices.
Definition: vpMatrix.h:153
void performLut(const Type(&lut)[256], unsigned int nbThreads=1)
Definition: vpImage.h:1679
double get_i() const
Definition: vpImagePoint.h:203
double getTop() const
Definition: vpRect.h:193
void resize(unsigned int h, unsigned int w)
resize the image : Image initialization
Definition: vpImage.h:800
unsigned char B
Blue component.
Definition: vpRGBa.h:150
Implementation of row vector and the associated operations.
Definition: vpRowVector.h:115
Type * bitmap
points toward the bitmap
Definition: vpImage.h:143
vpMatrix inverseByLU() const
unsigned int getRows() const
Definition: vpArray2D.h:289
Implementation of a generic 2D array used as base class for matrices and vectors. ...
Definition: vpArray2D.h:131
unsigned char G
Green component.
Definition: vpRGBa.h:149
Definition: vpRGBa.h:66
unsigned int getCols() const
Definition: vpArray2D.h:279
double getWidth() const
Definition: vpRect.h:228
static bool nul(double x, double s=0.001)
Definition: vpMath.h:286
static double sqr(double x)
Definition: vpMath.h:116
double get_j() const
Definition: vpImagePoint.h:214
Generic class defining intrinsic camera parameters.
static void binarise(vpImage< Type > &I, Type threshold1, Type threshold2, Type value1, Type value2, Type value3, bool useLUT=true)
Definition: vpImageTools.h:459
static void flip(const vpImage< Type > &I, vpImage< Type > &newI)
Definition: vpImageTools.h:830
double getLeft() const
Definition: vpRect.h:174
static void undistort(const vpImage< Type > &I, const vpCameraParameters &cam, vpImage< Type > &newI, unsigned int nThreads=2)
Definition: vpImageTools.h:645
static int round(double x)
Definition: vpMath.h:247
Various image tools; sub-image extraction, modification of the look up table, binarisation...
Definition: vpImageTools.h:78
static void warpImage(const vpImage< Type > &src, const vpMatrix &T, vpImage< Type > &dst, const vpImageInterpolationType &interpolation=INTERPOLATION_NEAREST, bool fixedPointArithmetic=true, bool pixelCenter=false)
unsigned int getHeight() const
Definition: vpImage.h:188
static void crop(const vpImage< Type > &I, double roi_top, double roi_left, unsigned int roi_height, unsigned int roi_width, vpImage< Type > &crop, unsigned int v_scale=1, unsigned int h_scale=1)
Definition: vpImageTools.h:305
unsigned int getSize() const
Definition: vpImage.h:227
unsigned char R
Red component.
Definition: vpRGBa.h:148
static vp_deprecated void createSubImage(const vpImage< Type > &I, unsigned int i_sub, unsigned int j_sub, unsigned int nrow_sub, unsigned int ncol_sub, vpImage< Type > &S)
double getHeight() const
Definition: vpRect.h:167
double get_kud() const
Defines a rectangle in the plane.
Definition: vpRect.h:79
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
Definition: vpImagePoint.h:87
unsigned int getWidth() const
Definition: vpImage.h:246
Definition of the vpImage class member functions.
Definition: vpImage.h:126
Defines an oriented rectangle in the plane.
static void resize(const vpImage< Type > &I, vpImage< Type > &Ires, unsigned int width, unsigned int height, const vpImageInterpolationType &method=INTERPOLATION_NEAREST, unsigned int nThreads=0)