Local Feature Extraction

Detect interest points and extract feature descriptors

Detect interest points and extract feature descriptors. Match features between feature sets and display corresponding feature points.


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detectBRISKFeaturesDetect BRISK features and return BRISKPoints object
detectFASTFeaturesDetect corners using FAST algorithm and return cornerPoints object
detectHarrisFeaturesDetect corners using Harris–Stephens algorithm and return cornerPoints object
detectMinEigenFeaturesDetect corners using minimum eigenvalue algorithm and return cornerPoints object
detectMSERFeaturesDetect MSER features and return MSERRegions object
detectORBFeaturesDetect and store ORB keypoints
detectSURFFeaturesDetect SURF features and return SURFPoints object
detectKAZEFeaturesDetect KAZE features
extractFeaturesExtract interest point descriptors
extractLBPFeaturesExtract local binary pattern (LBP) features
extractHOGFeaturesExtract histogram of oriented gradients (HOG) features
matchFeaturesFind matching features
showMatchedFeaturesDisplay corresponding feature points
binaryFeaturesObject for storing binary feature vectors
BRISKPointsObject for storing BRISK interest points
KAZEPointsObject for storing KAZE interest points
cornerPointsObject for storing corner points
SURFPointsObject for storing SURF interest points
MSERRegionsObject for storing MSER regions
ORBPointsObject for storing ORB keypoints


Local Feature Detection and Extraction

Learn the benefits and applications of local feature detection and extraction

Point Feature Types

Choose functions that return and accept points objects for several types of features

Coordinate Systems

Specify pixel Indices, spatial coordinates, and 3-D coordinate systems