Stereo Video Disparity Estimation Using Multi-Wavelets
Disparity estimation in stereo video processing is a crucial step in the generation of a 3D view of a scene. In this paper, a multi-wavelet based stereo correspondence matching technique for video is proposed. A multi-wavelet transform is first applied to a pair of stereo frames. Correspondence matching is initially performed at the coarsest level and relies on coarse-to-fine refinement in order to reduce the overall computational costs. Correspondence matching is carried out using a global error energy minimization technique to generate a disparity map for each of the four multi-wavelet basebands of the stereo pair. Information in the resulting disparity maps is then combined using an interpolation operator to construct an initial disparity map.