DMCA
A Local Depth Image Enhancement Scheme for View Synthesis (2012)
| Citations: | 1 - 1 self |
BibTeX
@MISC{Tian12alocal,
author = {Y. Tian and D. Vetro and Yongzhe Wang and Dong Tian and Anthony Vetro},
title = {A Local Depth Image Enhancement Scheme for View Synthesis},
year = {2012}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
The quality of the depth map is crucial for depth image based rendering (DIBR) which enables a variety of advanced 3D video related applications such as perceived depth adjustment for stereoscopic video and intermediate view generation for multiview auto-stereoscopic displays. However, the input depth map for DIBR may suffer from errors and noise, which could seriously impact the rendered view quality. In order to reduce the errors and suppress the noise in the depth map, a local depth image enhancement technique is proposed that leverages trellis-based optimization techniques. A cost function is used to evaluate candidate depth values based on the stereo cost as well as color and depth consistency. Sparse depth features are also used in the enhancement process. The experimental results show notable subjective improvements in terms of rendering quality.
Keyphrases
view synthesis local depth image enhancement scheme depth map rendered view quality enhancement process multiview auto-stereoscopic display stereo cost notable subjective improvement stereoscopic video perceived depth adjustment candidate depth value depth consistency intermediate view generation trellis-based optimization technique depth image cost function input depth map experimental result local depth image enhancement technique sparse depth feature
