Open Access
24 June 2014 Near-real-time stereo matching method using temporal and spatial propagation of reliable disparity
Sungil Kang, Hyunki Hong
Author Affiliations +
Abstract
A stereo approach to resolve the occlusion problem in stereo video sequence is introduced. We define a measure to evaluate the reliability of an initial disparity in combination with a left-right consistency check. An initial matching cost volume is computed with an absolute difference-census measure. In the spatial propagation stage, the outlier with a low reliability value is replaced/updated with the reliable disparity information in the support region. Because previous methods establish correspondence on a per-frame basis, they cannot obtain temporally coherent disparity results over a stereo sequence. In order to overcome the occlusion problem in a dynamic situation, we employ the modified codebook with color, disparity, reliability, array of the matching cost, and final access time in a temporal propagation procedure. Experimental results show that the proposed algorithm with general-purpose computing on graphics processing units (GPGPU) provides better performance when applied to disparity maps of real-time indoor/outdoor scenes.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Sungil Kang and Hyunki Hong "Near-real-time stereo matching method using temporal and spatial propagation of reliable disparity," Optical Engineering 53(6), 063107 (24 June 2014). https://doi.org/10.1117/1.OE.53.6.063107
Published: 24 June 2014
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Reliability

Image segmentation

Optical engineering

Video

Databases

Image processing

Venus

RELATED CONTENT


Back to Top