Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

dlr::computerVision::CameraIntrinsics	This abstract base class defines an interface for classes that describe camera projection and distortion parameters
dlr::computerVision::CameraIntrinsicsPinhole	This class represents calibration parameters for a simple pinhole camera model, as described in [1]
dlr::computerVision::CameraIntrinsicsPlumbBob	This class represents calibration parameters for cameras conforming to Brown-Conrady "plumb bob" camera model, as described in [1]
dlr::computerVision::privateCode::DisjointSet< Type >	This class implements one tree in the "forest of disjoint sets" data structure first described by Bernard Galler and Michael Fischer[1]
dlr::computerVision::Image< FORMAT >	This class template represents a 2D image
dlr::computerVision::ImageFormatTraits< ImageFormat >	The ImageFormatTraits class template specifies the characteristics of the available image formats
dlr::computerVision::Kernel< ELEMENT_TYPE >	This class template represents a 2D convolution kernel
dlr::computerVision::OpticalFlow< Format >	This class uses the method of Lucas and Kanade[1] to estimate the optical flow between two images
dlr::computerVision::privateCode::PlumbBobObjective	This functor is called by CameraIntrinsicsPlumbBob::reverseProject() during iterative approximation of reverse projection
dlr::computerVision::RandomSampleSelector< Sample >	This class template provides capabilities to randomly select sequences of samples from a pool of candidates
dlr::computerVision::Ransac< Problem >	This class template implements the RANSAC algorithm[1]
dlr::computerVision::RansacProblem< Sample, Model >	This class template implements the "Problem" interface required by the Ransac class, above
dlr::computerVision::SegmenterFelzenszwalb< EdgeFunctor >	This class implements the image segmentation algorithm described [1]