34 #ifndef VP_MB_DEPTH_NORMAL_TRACKER_H
35 #define VP_MB_DEPTH_NORMAL_TRACKER_H
37 #include <visp3/core/vpConfig.h>
38 #include <visp3/core/vpPlane.h>
39 #include <visp3/mbt/vpMbTracker.h>
40 #include <visp3/mbt/vpMbtFaceDepthNormal.h>
42 #if DEBUG_DISPLAY_DEPTH_NORMAL
43 #include <visp3/core/vpDisplay.h>
54 const vpColor &col,
unsigned int thickness = 1,
bool displayFullModel =
false) VP_OVERRIDE;
57 const vpColor &col,
unsigned int thickness = 1,
bool displayFullModel =
false) VP_OVERRIDE;
61 return m_depthNormalFeatureEstimationMethod;
66 virtual std::vector<std::vector<double> >
getModelForDisplay(
unsigned int width,
unsigned int height,
69 bool displayFullModel =
false) VP_OVERRIDE;
71 virtual inline
vpColVector getRobustWeights() const VP_OVERRIDE {
return m_w_depthNormal; }
75 virtual void loadConfigFile(
const std::string &configFile,
bool verbose =
true) VP_OVERRIDE;
78 bool verbose = false);
79 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON)
80 void reInitModel(
const pcl::PointCloud<pcl::PointXYZ>::ConstPtr &point_cloud,
const std::string &cad_name,
88 virtual
void setDepthNormalFaceCentroidMethod(const
vpMbtFaceDepthNormal::vpFaceCentroidType &method);
90 virtual
void setDepthNormalFeatureEstimationMethod(const
vpMbtFaceDepthNormal::vpFeatureEstimationType &method);
92 virtual
void setDepthNormalPclPlaneEstimationMethod(
int method);
94 virtual
void setDepthNormalPclPlaneEstimationRansacMaxIter(
int maxIter);
96 virtual
void setDepthNormalPclPlaneEstimationRansacThreshold(
double thresold);
98 virtual
void setDepthNormalSamplingStep(
unsigned int stepX,
unsigned int stepY);
102 virtual
void setOgreVisibilityTest(const
bool &v) VP_OVERRIDE;
106 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON)
112 void setUseDepthNormalTracking(
const std::string &name,
const bool &useDepthNormalTracking);
116 virtual
void track(const
vpImage<
unsigned char> &) VP_OVERRIDE;
117 virtual
void track(const
vpImage<
vpRGBa> &I_color) VP_OVERRIDE;
118 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON)
119 virtual void track(
const pcl::PointCloud<pcl::PointXYZ>::ConstPtr &point_cloud);
121 virtual void track(
const std::vector<vpColVector> &point_cloud,
unsigned int width,
unsigned int height);
158 #if DEBUG_DISPLAY_DEPTH_NORMAL
165 void computeVisibility(
unsigned int width,
unsigned int height);
169 virtual
void computeVVSInteractionMatrixAndResidu() VP_OVERRIDE;
171 virtual std::vector<std::vector<
double> > getFeaturesForDisplayDepthNormal();
173 virtual
void initCircle(const
vpPoint &p1, const
vpPoint &p2, const
vpPoint &p3,
double radius,
int idFace = 0,
174 const std::
string &name = "") VP_OVERRIDE;
176 virtual
void initCylinder(const
vpPoint &p1, const
vpPoint &p2,
double radius,
int idFace = 0,
177 const std::
string &name = "") VP_OVERRIDE;
179 virtual
void initFaceFromCorners(
vpMbtPolygon &polygon) VP_OVERRIDE;
181 virtual
void initFaceFromLines(
vpMbtPolygon &polygon) VP_OVERRIDE;
183 #if defined(VISP_HAVE_PCL) && defined(VISP_HAVE_PCL_COMMON)
184 void segmentPointCloud(
const pcl::PointCloud<pcl::PointXYZ>::ConstPtr &point_cloud);
186 void segmentPointCloud(
const std::vector<vpColVector> &point_cloud,
unsigned int width,
unsigned int height);
187 void segmentPointCloud(
const vpMatrix &point_cloud,
unsigned int width,
unsigned int height);
Generic class defining intrinsic camera parameters.
Implementation of column vector and the associated operations.
Class to define RGB colors available for display functionalities.
Class that defines generic functionalities for display.
Implementation of an homogeneous matrix and operations on such kind of matrices.
Implementation of a matrix and operations on matrices.
vpMatrix m_L_depthNormal
Interaction matrix.
virtual vpColVector getError() const VP_OVERRIDE
vpRobust m_robust_depthNormal
Robust.
vpMbtFaceDepthNormal::vpFeatureEstimationType m_depthNormalFeatureEstimationMethod
Method to estimate the desired features.
std::vector< vpMbtFaceDepthNormal * > m_depthNormalFaces
List of faces.
int m_depthNormalPclPlaneEstimationRansacMaxIter
PCL RANSAC maximum number of iterations.
unsigned int m_depthNormalSamplingStepY
Sampling step in y-direction.
double m_depthNormalPclPlaneEstimationRansacThreshold
PCL RANSAC threshold.
bool m_depthNormalUseRobust
If true, use Tukey robust M-Estimator.
vpColVector m_w_depthNormal
Robust weights.
vpColVector m_error_depthNormal
(s - s*)
vpColVector m_weightedError_depthNormal
Weighted error.
std::vector< vpMbtFaceDepthNormal * > m_depthNormalListOfActiveFaces
List of current active (visible and with features extracted) faces.
int m_depthNormalPclPlaneEstimationMethod
PCL plane estimation method.
std::vector< vpColVector > m_depthNormalListOfDesiredFeatures
List of desired features.
vpMbHiddenFaces< vpMbtPolygon > m_depthNormalHiddenFacesDisplay
Set of faces describing the object used only for display with scan line.
virtual vpMbtFaceDepthNormal::vpFeatureEstimationType getDepthFeatureEstimationMethod() const
std::vector< std::vector< double > > m_featuresToBeDisplayedDepthNormal
Display features.
unsigned int m_depthNormalSamplingStepX
Sampling step in x-direction.
Main methods for a model-based tracker.
virtual void track(const vpImage< unsigned char > &I)=0
virtual void resetTracker()=0
virtual void init(const vpImage< unsigned char > &I)=0
virtual std::vector< std::vector< double > > getModelForDisplay(unsigned int width, unsigned int height, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam, bool displayFullModel=false)=0
virtual void setScanLineVisibilityTest(const bool &v)
virtual void setPose(const vpImage< unsigned char > &I, const vpHomogeneousMatrix &cdMo)=0
virtual void display(const vpImage< unsigned char > &I, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam, const vpColor &col, unsigned int thickness=1, bool displayFullModel=false)=0
virtual void computeVVSInit()=0
virtual void testTracking()=0
virtual void loadConfigFile(const std::string &configFile, bool verbose=true)
Implementation of a polygon of the model used by the model-based tracker.
Class that defines a 3D point in the object frame and allows forward projection of a 3D point in the ...
Contains an M-estimator and various influence function.