opentl::core::cvdata::LucasKanadeFeatures Class Reference

Provides a Container for the Lucas Kanade Features. More...

Inherits opentl::core::cvdata::VisualFeatures.

List of all members.

Public Member Functions

int getFeatureCount ()
 Returns the feature count.
 LucasKanadeFeatures (int maxFeatures)
 Constructor.
 ~LucasKanadeFeatures ()
 Distructor.

Public Attributes

int maxFeatureCount
 maxFeatureCount - max feature count
std::vector< math::Vector4 * > mBodyPointsNormalVec
 Vector containing 3D coordinates of the detected features point Normals in Body Space obtained after backprojection.
std::vector< math::Vector4 * > mBodyPointsVec
 Vector containing 3D coordinates of the detected features in Body Space obtained after backprojection (x, y, z, targetFound) targetFound = -1 if target point not found, 0 if target point found.
CvPoint2D32f * mCurrentFeaturePoints
 mCurrentFeaturePoints - Pointer to the feature points detected in the current image
CvPoint2D32f * mPrevFeaturePoints
 mPrevFeaturePoints - Pointer to the feature points detected in the previous image
std::vector< int > outputLinkIndex
 Vector containing status of link index for each point targetFound = -1 if no object found for this point, 0 if object found.
std::vector< int > outputTargetIndex
 Vector containing status of detected target index for each point targetFound = -1 if target point not found, 0 if target point found.


Detailed Description

Provides a Container for the Lucas Kanade Features.

Constructor & Destructor Documentation

opentl::core::cvdata::LucasKanadeFeatures::LucasKanadeFeatures ( int  maxFeatures  ) 

Constructor.

Parameters:
maxFeatures - max features to be detected and stored

opentl::core::cvdata::LucasKanadeFeatures::~LucasKanadeFeatures (  ) 

Distructor.


Member Function Documentation

int opentl::core::cvdata::LucasKanadeFeatures::getFeatureCount (  )  [inline]

Returns the feature count.


Member Data Documentation

maxFeatureCount - max feature count

Vector containing 3D coordinates of the detected features point Normals in Body Space obtained after backprojection.

Vector containing 3D coordinates of the detected features in Body Space obtained after backprojection (x, y, z, targetFound) targetFound = -1 if target point not found, 0 if target point found.

mCurrentFeaturePoints - Pointer to the feature points detected in the current image

mPrevFeaturePoints - Pointer to the feature points detected in the previous image

Vector containing status of link index for each point targetFound = -1 if no object found for this point, 0 if object found.

Vector containing status of detected target index for each point targetFound = -1 if target point not found, 0 if target point found.


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