Package boofcv.abst.disparity

package boofcv.abst.disparity

Class	Description
ConfigSpeckleFilter	Configuration for DisparitySmootherSpeckleFilter.
DisparityBlockMatchCorrelation<T extends ImageGray<T>,D extends ImageGray<D>,TF extends ImageGray<TF>>	Wrapper around StereoDisparity that will (optionally) convert all inputs to float and normalize the input to have zero mean and an absolute value of at most 1.
DisparitySmoother<Image extends ImageBase<Image>,Disparity extends ImageGray<Disparity>>	High level API for algorithm which attempt to reduce the noise in disparity images in a post processing step
DisparitySmootherSpeckleFilter<Image extends ImageBase<Image>,Disp extends ImageGray<Disp>>	Wrapper around ConnectedTwoRowSpeckleFiller_F32 for DisparitySmoother
StereoDisparity<Image extends ImageBase<Image>,Disparity extends ImageGray<Disparity>>	Given two rectified images compute the corresponding dense disparity image.
StereoDisparitySparse<Image extends ImageGray>	Computes the disparity between two rectified images at specified points only.
WrapBaseBlockMatch<In extends ImageGray<In>,T extends ImageGray<T>,DI extends ImageGray<DI>>	Base class for wrapped block matching algorithms.
WrapDisparityBlockMatchCensus<T extends ImageGray<T>,C extends ImageGray<C>,DI extends ImageGray<DI>>	Wrapper around Block Matching disparity which uses Census as an error measure.
WrapDisparityBlockMatchRowFormat<T extends ImageGray<T>,DI extends ImageGray<DI>>	Wrapper for any implementation of DisparityBlockMatchRowFormat
WrapDisparitySgm<DI extends ImageGray<DI>>
WrapDisparitySparseRectifiedBM<ArrayData,T extends ImageGray<T>>	Wrapper around DisparitySparseRectifiedScoreBM for StereoDisparitySparse