Local Feature Extraction

Detect interest points and extract feature descriptors

Detect Features

detectBRISKFeatures Detect BRISK features and return BRISKPoints object
detectFASTFeatures Detect corners using FAST algorithm and return cornerPoints object
detectHarrisFeatures Detect corners using Harris–Stephens algorithm and return cornerPoints object
detectMinEigenFeatures Detect corners using minimum eigenvalue algorithm and return cornerPoints object
detectMSERFeatures Detect MSER features and return MSERRegions object
detectSURFFeatures Detect SURF features and return SURFPoints object

Extract Features

extractFeatures Extract interest point descriptors
extractLBPFeatures Extract local binary pattern (LBP) features
extractHOGFeatures Extract histogram of oriented gradients (HOG) features

Match Features

matchFeatures Find matching features
showMatchedFeatures Display corresponding feature points

Store Features

binaryFeatures Object for storing binary feature vectors
BRISKPoints Object for storing BRISK interest points
cornerPoints Object for storing corner points
SURFPoints Object for storing SURF interest points
MSERRegions Object for storing MSER regions


Maintained by John Loomis, last updated 11 April 2017