Color Image-Guided Boundary-Inconsistent Region Refinement for Stereo Matching

Cost computation, cost aggregation, disparity optimization, and disparity refinement are the four main steps for stereo matching. While the first three steps have been widely investigated, few efforts have been taken on disparity refinement. In this paper, we propose a color image-guided disparity r...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2017-05, Vol.27 (5), p.1155-1159
Main Authors: Jiao, Jianbo, Wang, Ronggang, Wang, Wenmin, Li, Dagang, Gao, Wen
Format: Article
Language:English
Subjects:
Boundary
Color
Color matching
Computers
disparity refinement
Image edge detection
Image segmentation
Kinect
Media
Optimization
Pipelines
stereo matching
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Summary:Cost computation, cost aggregation, disparity optimization, and disparity refinement are the four main steps for stereo matching. While the first three steps have been widely investigated, few efforts have been taken on disparity refinement. In this paper, we propose a color image-guided disparity refinement method to further remove the boundary-inconsistent regions on disparity map. First, the origins of boundary-inconsistent regions are analyzed. Then, these regions are detected with the proposed hybrid-superpixel-based strategy. Finally, the detected boundary-inconsistent regions are refined by a modified weighted median filtering method. Experimental results on various stereo matching conditions validate the effectiveness of the proposed method. Furthermore, depth maps obtained by active depth acquisition devices like Kinect can also be well refined with our proposed method.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2015.2513618