Stereo Matching with Reliable Disparity Propagation

In this paper, we propose a novel propagation-based stereo matching algorithm. Starting from an initial disparity map, our algorithm selects highly reliable pixels and propagates their disparities along the scan line to produce dense disparity results. The key idea is to construct a line segment reg...

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Bibliographic Details
Published in2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission pp. 132 - 139
Main Authors Xun Sun, Xing Mei, Shaohui Jiao, Mingcai Zhou, Haitao Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
Accuracy
disparity propagation
Image color analysis
Image segmentation
line segments
Noise
Pixel
Process control
stereo matching
Stereo vision
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ISBN1612844294
9781612844299
ISSN1550-6185
DOI10.1109/3DIMPVT.2011.24

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Summary:In this paper, we propose a novel propagation-based stereo matching algorithm. Starting from an initial disparity map, our algorithm selects highly reliable pixels and propagates their disparities along the scan line to produce dense disparity results. The key idea is to construct a line segment region for each pixel with local color and connectivity constraints. The pixel wise line segments are efficiently used to compute initial disparities, select reliable pixels and determine proper propagation regions. Streaking artifacts are effectively removed in a refinement process. Experimental results demonstrate the performance of the proposed method: it ranks 5th in the Middlebury benchmark, and the results can be computed within a few seconds.
ISBN:1612844294
9781612844299
ISSN:1550-6185
DOI:10.1109/3DIMPVT.2011.24