Uses of Class
org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint

Packages that use ByteDSIFTKeypoint

Package	Description
org.openimaj.image.feature.dense.gradient.dsift

Uses of ByteDSIFTKeypoint in org.openimaj.image.feature.dense.gradient.dsift

Methods in org.openimaj.image.feature.dense.gradient.dsift that return types with arguments of type ByteDSIFTKeypoint

Modifier and Type	Method and Description
LocalFeatureList<ByteDSIFTKeypoint>	PyramidDenseSIFT.getByteKeypoints()
LocalFeatureList<ByteDSIFTKeypoint>	ColourDenseSIFT.getByteKeypoints()
abstract LocalFeatureList<ByteDSIFTKeypoint>	AbstractDenseSIFT.getByteKeypoints() Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or AbstractDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with byte vectors.
LocalFeatureList<ByteDSIFTKeypoint>	DenseSIFT.getByteKeypoints()
LocalFeatureList<ByteDSIFTKeypoint>	PyramidDenseSIFT.getByteKeypoints(float energyThreshold)
LocalFeatureList<ByteDSIFTKeypoint>	ColourDenseSIFT.getByteKeypoints(float energyThreshold)
abstract LocalFeatureList<ByteDSIFTKeypoint>	AbstractDenseSIFT.getByteKeypoints(float energyThreshold) Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or AbstractDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with byte vectors.
LocalFeatureList<ByteDSIFTKeypoint>	DenseSIFT.getByteKeypoints(float energyThreshold)
List<IntObjectPair<LocalFeatureList<ByteDSIFTKeypoint>>>	PyramidDenseSIFT.getByteKeypointsGrouped() Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or PyramidDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with byte vectors.
List<IntObjectPair<LocalFeatureList<ByteDSIFTKeypoint>>>	PyramidDenseSIFT.getByteKeypointsGrouped(float energyThreshold) Get the SIFT descriptors from the previous call to AbstractDenseSIFT.analyseImage(Image) or PyramidDenseSIFT.analyseImage(Image, Rectangle) in the form of a list of local features with byte vectors.