This paper presents a Markov Random Field (MRF)-based approach for depth map super-resolution and enhancement. Given a low-resolution or moderate quality depth map, we study the p...
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
Processing of stereo images has become more and more important in recent years because of the availability of various stereo displaying devices. In particular, stabilizing of ster...
Kai Ki Lee, Kin-hong Wong, Man Kin Leung, Michael ...
We present a novel robust methodology for corresponding a dense set of points on an object surface from photometric values, for 3-D stereo computation of depth. We use two stereo p...
This paper presents a new approach for generation of superresolution stereoscopic and multi-view video from monocular video. Such multi-view video is used for instance with multi-...