Function:GoodFeaturesToTrack

Detecting interesting parts of an image is an important step in most computer vision applications. Itserves as the first low-level processing step in applications like image segmentation, object recognition, object tracking and motion estimation. CUVI offers feature detectors including KLT, Harris and Peter in a single function

Function

CuviStatus goodFeaturesToTrack(CuviImage* srcImage CuviROI roi, CuviPointValue2D** outputFeatures, Cuvi32s* maxFeatures, CuviFeaturesCriteria criteria, CuviStream* stream = NULL);

Parameters

Name	Type	Description
srcImage	CuviImage*	Input 8 bit Gray Scale Image.
roi	CuviROI	Desired region of interest of input image. The function will return features from only that region of the image
outputFeatures	CuviPointValue2D**	Output feature list that contains the coordinates & values of features/corners.
maxFeatures	Cuvi32s*	Desired number of features. If the total features detected in the image or ROI are less than maxFeatures its value is updated to that number
criteria	CuviFeaturesCriteria	Output image doesn’t use the values above this point from the intensity map
stream	CuviStream*	Output image doesn’t use the values above this point from the intensity map