| 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<> | 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::SegmenterFelzenszwalb | This class implements the image segmentation algorithm described [1] |
1.5.5