Super-resolution (SR) techniques constitute a key element in image applications, which
need high-resolution reconstruction, while in the worst case, only a single low-resolution …

Reconstructing a full-resolution stereoscopic video from an asymmetric stereoscopic video is
a challenging task. The existing approaches require depth information, which imposes an …

Disparity refinement based on a regression model continues to be challenging for specified
function with a weak generalization ability. An invalid disparity refinement method to improve …

A novel framework for sparse and dense disparity estimation was designed, and the
proposed framework has been implemented in CPU and GPU for a parallel processing …

The development of a novel depth estimation method for free-viewpoint television systems is
the main goal of research presented in this dissertation. In free-viewpoint television the …

Stereo matching is a challenging problem, especially for computer vision, eg, three-
dimensional television (3DTV) or 3D visualization. The disparity maps from the video …

As one branch of stereo matching, video stereo matching becomes more and more
significant in computer vision applications. The conventional stereo matching methods for …

Disparity estimation is a fundamental task in stereo imaging and is a well-studied problem.
Recently, methods have been adapted to the video domain where motion is used as a …

A stereo matching algorithm is used to find the best match between a pair of images. To
compute the cost of the matching points from the sequence of images, the disparity maps …

In this paper, we propose a temporal stereo disparity estimation method. Conventional
stereo disparity estimation methods rely on matching costs regarding computation of …