Visual Servoing Platform  version 3.6.1 under development (2024-07-27)
vpMbtFaceDepthNormal.h
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30  *
31  * Description:
32  * Manage depth normal features for a particular face.
33  *
34 *****************************************************************************/
35 
36 #ifndef _vpMbtFaceDepthNormal_h_
37 #define _vpMbtFaceDepthNormal_h_
38 
39 #include <iostream>
40 
41 #include <visp3/core/vpConfig.h>
42 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON) && defined(VISP_HAVE_PCL_SEGMENTATION) && defined(VISP_HAVE_PCL_FILTERS)
43 #include <pcl/point_cloud.h>
44 #include <pcl/point_types.h>
45 #endif
46 
47 #include <visp3/core/vpPlane.h>
48 #include <visp3/mbt/vpMbTracker.h>
49 #include <visp3/mbt/vpMbtDistanceLine.h>
50 
51 #define DEBUG_DISPLAY_DEPTH_NORMAL 0
52 
54 class VISP_EXPORT vpMbtFaceDepthNormal
55 {
56 public:
61  {
63  MEAN_CENTROID
64  };
65 
70  {
71  ROBUST_FEATURE_ESTIMATION = 0,
72  ROBUST_SVD_PLANE_ESTIMATION = 1,
73 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON) && defined(VISP_HAVE_PCL_SEGMENTATION) && defined(VISP_HAVE_PCL_FILTERS)
74  PCL_PLANE_ESTIMATION = 2
75 #endif
76  };
77 
81  unsigned int m_clippingFlag;
83  double m_distFarClip;
94 
96  virtual ~vpMbtFaceDepthNormal();
97 
98  void addLine(vpPoint &p1, vpPoint &p2, vpMbHiddenFaces<vpMbtPolygon> *const faces, vpUniRand &rand_gen,
99  int polygon = -1, std::string name = "");
100 
101 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON) && defined(VISP_HAVE_PCL_SEGMENTATION) && defined(VISP_HAVE_PCL_FILTERS)
102  bool computeDesiredFeatures(const vpHomogeneousMatrix &cMo, unsigned int width, unsigned int height,
103  const pcl::PointCloud<pcl::PointXYZ>::ConstPtr &point_cloud,
104  vpColVector &desired_features, unsigned int stepX, unsigned int stepY
105 #if DEBUG_DISPLAY_DEPTH_NORMAL
106  ,
107  vpImage<unsigned char> &debugImage, std::vector<std::vector<vpImagePoint> > &roiPts_vec
108 #endif
109  ,
110  const vpImage<bool> *mask = nullptr);
111 #endif
112  bool computeDesiredFeatures(const vpHomogeneousMatrix &cMo, unsigned int width, unsigned int height,
113  const std::vector<vpColVector> &point_cloud, vpColVector &desired_features,
114  unsigned int stepX, unsigned int stepY
115 #if DEBUG_DISPLAY_DEPTH_NORMAL
116  ,
117  vpImage<unsigned char> &debugImage, std::vector<std::vector<vpImagePoint> > &roiPts_vec
118 #endif
119  ,
120  const vpImage<bool> *mask = nullptr);
121  bool computeDesiredFeatures(const vpHomogeneousMatrix &cMo, unsigned int width, unsigned int height,
122  const vpMatrix &point_cloud, vpColVector &desired_features,
123  unsigned int stepX, unsigned int stepY
124 #if DEBUG_DISPLAY_DEPTH_NORMAL
125  ,
126  vpImage<unsigned char> &debugImage, std::vector<std::vector<vpImagePoint> > &roiPts_vec
127 #endif
128  ,
129  const vpImage<bool> *mask = nullptr);
130 
131  void computeInteractionMatrix(const vpHomogeneousMatrix &cMo, vpMatrix &L, vpColVector &features);
132 
133  void computeVisibility();
134  void computeVisibilityDisplay();
135 
136  void computeNormalVisibility(double nx, double ny, double nz, const vpColVector &centroid_point,
137  vpColVector &face_normal);
138 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON) && defined(VISP_HAVE_PCL_SEGMENTATION) && defined(VISP_HAVE_PCL_FILTERS)
139  void computeNormalVisibility(float nx, float ny, float nz, const pcl::PointXYZ &centroid_point,
140  pcl::PointXYZ &face_normal);
141 #endif
142  void computeNormalVisibility(double nx, double ny, double nz, const vpHomogeneousMatrix &cMo,
143  const vpCameraParameters &camera, vpColVector &correct_normal, vpPoint &centroid);
144 
145  void display(const vpImage<unsigned char> &I, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam,
146  const vpColor &col, unsigned int thickness = 1, bool displayFullModel = false);
147  void display(const vpImage<vpRGBa> &I, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam,
148  const vpColor &col, unsigned int thickness = 1, bool displayFullModel = false);
149 
150  void displayFeature(const vpImage<unsigned char> &I, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam,
151  double scale = 0.05, unsigned int thickness = 1);
152  void displayFeature(const vpImage<vpRGBa> &I, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam,
153  double scale = 0.05, unsigned int thickness = 1);
154 
155  std::vector<std::vector<double> > getFeaturesForDisplay(const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam,
156  double scale = 0.05);
157 
158  std::vector<std::vector<double> > getModelForDisplay(unsigned int width, unsigned int height,
159  const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam,
160  bool displayFullModel = false);
161 
162  inline bool isTracked() const { return m_isTrackedDepthNormalFace; }
163 
164  inline bool isVisible() const { return m_polygon->isvisible; }
165 
166  void setCameraParameters(const vpCameraParameters &camera);
167 
168  inline void setFaceCentroidMethod(const vpFaceCentroidType &method) { m_faceCentroidMethod = method; }
169 
170  inline void setFeatureEstimationMethod(const vpFeatureEstimationType &method) { m_featureEstimationMethod = method; }
171 
172  inline void setPclPlaneEstimationMethod(int method) { m_pclPlaneEstimationMethod = method; }
173 
174  inline void setPclPlaneEstimationRansacMaxIter(int maxIter) { m_pclPlaneEstimationRansacMaxIter = maxIter; }
175 
176  inline void setPclPlaneEstimationRansacThreshold(double threshold)
177  {
178  m_pclPlaneEstimationRansacThreshold = threshold;
179  }
180 
181  void setScanLineVisibilityTest(bool v);
182 
183  inline void setTracked(bool tracked) { m_isTrackedDepthNormalFace = tracked; }
184 
185 private:
186  class PolygonLine
187  {
188  public:
190  vpPoint *m_p1;
192  vpPoint *m_p2;
194  vpMbtPolygon m_poly;
196  vpImagePoint m_imPt1;
198  vpImagePoint m_imPt2;
199 
200  PolygonLine() : m_p1(nullptr), m_p2(nullptr), m_poly(), m_imPt1(), m_imPt2() { }
201 
202  PolygonLine(const PolygonLine &polyLine)
203  : m_p1(nullptr), m_p2(nullptr), m_poly(polyLine.m_poly), m_imPt1(polyLine.m_imPt1), m_imPt2(polyLine.m_imPt2)
204  {
205  m_p1 = &m_poly.p[0];
206  m_p2 = &m_poly.p[1];
207  }
208 
209  PolygonLine &operator=(PolygonLine other)
210  {
211  swap(*this, other);
212 
213  return *this;
214  }
215 
216  void swap(PolygonLine &first, PolygonLine &second)
217  {
218  using std::swap;
219  swap(first.m_p1, second.m_p1);
220  swap(first.m_p2, second.m_p2);
221  swap(first.m_poly, second.m_poly);
222  swap(first.m_imPt1, second.m_imPt1);
223  swap(first.m_imPt2, second.m_imPt2);
224  }
225  };
226 
227  template <class T> class Mat33
228  {
229  public:
230  std::vector<T> data;
231 
232  Mat33() : data(9) { }
233 
234  inline T operator[](const size_t i) const { return data[i]; }
235 
236  inline T &operator[](const size_t i) { return data[i]; }
237 
238  Mat33 inverse() const
239  {
240  // determinant
241  T det = data[0] * (data[4] * data[8] - data[7] * data[5]) - data[1] * (data[3] * data[8] - data[5] * data[6]) +
242  data[2] * (data[3] * data[7] - data[4] * data[6]);
243  T invdet = 1 / det;
244 
245  Mat33<T> minv;
246  minv[0] = (data[4] * data[8] - data[7] * data[5]) * invdet;
247  minv[1] = (data[2] * data[7] - data[1] * data[8]) * invdet;
248  minv[2] = (data[1] * data[5] - data[2] * data[4]) * invdet;
249  minv[3] = (data[5] * data[6] - data[3] * data[8]) * invdet;
250  minv[4] = (data[0] * data[8] - data[2] * data[6]) * invdet;
251  minv[5] = (data[3] * data[2] - data[0] * data[5]) * invdet;
252  minv[6] = (data[3] * data[7] - data[6] * data[4]) * invdet;
253  minv[7] = (data[6] * data[1] - data[0] * data[7]) * invdet;
254  minv[8] = (data[0] * data[4] - data[3] * data[1]) * invdet;
255 
256  return minv;
257  }
258  };
259 
260 protected:
276  std::vector<vpMbtDistanceLine *> m_listOfFaceLines;
287  std::vector<PolygonLine> m_polygonLines;
288 
289 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON) && defined(VISP_HAVE_PCL_SEGMENTATION) && defined(VISP_HAVE_PCL_FILTERS)
290  bool computeDesiredFeaturesPCL(const pcl::PointCloud<pcl::PointXYZ>::ConstPtr &point_cloud_face,
291  vpColVector &desired_features, vpColVector &desired_normal,
292  vpColVector &centroid_point);
293 #endif
294  void computeDesiredFeaturesRobustFeatures(const std::vector<double> &point_cloud_face_custom,
295  const std::vector<double> &point_cloud_face, const vpHomogeneousMatrix &cMo,
296  vpColVector &desired_features, vpColVector &desired_normal,
297  vpColVector &centroid_point);
298  void computeDesiredFeaturesSVD(const std::vector<double> &point_cloud_face, const vpHomogeneousMatrix &cMo,
299  vpColVector &desired_features, vpColVector &desired_normal,
300  vpColVector &centroid_point);
301  void computeDesiredNormalAndCentroid(const vpHomogeneousMatrix &cMo, const vpColVector &desired_normal,
302  const vpColVector &centroid_point);
303 
304  bool computePolygonCentroid(const std::vector<vpPoint> &points, vpPoint &centroid);
305 
306  void computeROI(const vpHomogeneousMatrix &cMo, unsigned int width, unsigned int height,
307  std::vector<vpImagePoint> &roiPts
308 #if DEBUG_DISPLAY_DEPTH_NORMAL
309  ,
310  std::vector<std::vector<vpImagePoint> > &roiPts_vec
311 #endif
312  );
313 
314  void estimateFeatures(const std::vector<double> &point_cloud_face, const vpHomogeneousMatrix &cMo,
315  vpColVector &x_estimated, std::vector<double> &weights);
316 
317  void estimatePlaneEquationSVD(const std::vector<double> &point_cloud_face, const vpHomogeneousMatrix &cMo,
318  vpColVector &plane_equation_estimated, vpColVector &centroid);
319 
320  bool samePoint(const vpPoint &P1, const vpPoint &P2) const;
321 };
322 END_VISP_NAMESPACE
323 
324 #ifdef VISP_HAVE_NLOHMANN_JSON
325 #include<nlohmann/json.hpp>
326 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON) && defined(VISP_HAVE_PCL_SEGMENTATION) && defined(VISP_HAVE_PCL_FILTERS)
327 NLOHMANN_JSON_SERIALIZE_ENUM(VISP_NAMESPACE_ADDRESSING vpMbtFaceDepthNormal::vpFeatureEstimationType, {
328  {VISP_NAMESPACE_ADDRESSING vpMbtFaceDepthNormal::ROBUST_FEATURE_ESTIMATION, "robust"},
329  {VISP_NAMESPACE_ADDRESSING vpMbtFaceDepthNormal::ROBUST_SVD_PLANE_ESTIMATION, "robustSVD"},
330  {VISP_NAMESPACE_ADDRESSING vpMbtFaceDepthNormal::PCL_PLANE_ESTIMATION, "pcl"}
331 });
332 #else
333 NLOHMANN_JSON_SERIALIZE_ENUM(VISP_NAMESPACE_ADDRESSING vpMbtFaceDepthNormal::vpFeatureEstimationType, {
334  {VISP_NAMESPACE_ADDRESSING vpMbtFaceDepthNormal::ROBUST_FEATURE_ESTIMATION, "robust"},
335  {VISP_NAMESPACE_ADDRESSING vpMbtFaceDepthNormal::ROBUST_SVD_PLANE_ESTIMATION, "robustSVD"}
336 });
337 #endif
338 #endif
339 
340 #endif
Generic class defining intrinsic camera parameters.
Implementation of column vector and the associated operations.
Definition: vpColVector.h:191
Class to define RGB colors available for display functionalities.
Definition: vpColor.h:157
Implementation of an homogeneous matrix and operations on such kind of matrices.
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
Definition: vpImagePoint.h:82
Implementation of a matrix and operations on matrices.
Definition: vpMatrix.h:169
double m_pclPlaneEstimationRansacThreshold
PCL plane estimation RANSAC threshold.
int m_pclPlaneEstimationMethod
PCL plane estimation method.
double m_distNearClip
Distance for near clipping.
double m_distFarClip
Distance for near clipping.
vpMbHiddenFaces< vpMbtPolygon > * m_hiddenFace
Pointer to the list of faces.
std::vector< vpMbtDistanceLine * > m_listOfFaceLines
void setPclPlaneEstimationMethod(int method)
vpFeatureEstimationType m_featureEstimationMethod
Method to estimate the desired features.
void setPclPlaneEstimationRansacThreshold(double threshold)
vpMbtPolygon * m_polygon
Polygon defining the face.
vpPoint m_faceDesiredCentroid
Desired centroid (computed from the sensor)
vpCameraParameters m_cam
Camera intrinsic parameters.
@ ROBUST_FEATURE_ESTIMATION
Robust scheme to estimate the normal of the plane.
@ ROBUST_SVD_PLANE_ESTIMATION
Use SVD and robust scheme to estimate the normal of the plane.
@ PCL_PLANE_ESTIMATION
Use PCL to estimate the normal of the plane.
vpPlane m_planeObject
Plane equation described in the object frame.
bool m_faceActivated
True if the face should be considered by the tracker.
@ GEOMETRIC_CENTROID
Compute the geometric centroid.
vpFaceCentroidType m_faceCentroidMethod
Method to compute the face centroid for the current features.
int m_pclPlaneEstimationRansacMaxIter
PCL pane estimation max number of iterations.
unsigned int m_clippingFlag
Flags specifying which clipping to used.
void setTracked(bool tracked)
vpPoint m_faceDesiredNormal
Face (normalized) normal (computed from the sensor)
void setFeatureEstimationMethod(const vpFeatureEstimationType &method)
std::vector< PolygonLine > m_polygonLines
void setFaceCentroidMethod(const vpFaceCentroidType &method)
void setPclPlaneEstimationRansacMaxIter(int maxIter)
bool m_useScanLine
Scan line visibility.
Implementation of a polygon of the model used by the model-based tracker.
Definition: vpMbtPolygon.h:60
bool isvisible
flag to specify whether the face is visible or not
Definition: vpMbtPolygon.h:66
This class defines the container for a plane geometrical structure.
Definition: vpPlane.h:57
Class that defines a 3D point in the object frame and allows forward projection of a 3D point in the ...
Definition: vpPoint.h:79
vpPoint * p
corners in the object frame
Definition: vpPolygon3D.h:79
Class for generating random numbers with uniform probability density.
Definition: vpUniRand.h:125