Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/222464
Title: Color Image-Guided Boundary-Inconsistent Region Refinement for Stereo Matching
Authors: Jianbo Jiao;Ronggang Wang;Wenmin Wang;Dagang Li;Wen Gao
Year: 2017
Publisher: IEEE
Abstract: 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.
URI: http://localhost/handle/Hannan/222464
volume: 27
issue: 5
More Information: 1155,
1159
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7368917.pdf2.96 MBAdobe PDF
Title: Color Image-Guided Boundary-Inconsistent Region Refinement for Stereo Matching
Authors: Jianbo Jiao;Ronggang Wang;Wenmin Wang;Dagang Li;Wen Gao
Year: 2017
Publisher: IEEE
Abstract: 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.
URI: http://localhost/handle/Hannan/222464
volume: 27
issue: 5
More Information: 1155,
1159
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7368917.pdf2.96 MBAdobe PDF
Title: Color Image-Guided Boundary-Inconsistent Region Refinement for Stereo Matching
Authors: Jianbo Jiao;Ronggang Wang;Wenmin Wang;Dagang Li;Wen Gao
Year: 2017
Publisher: IEEE
Abstract: 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.
URI: http://localhost/handle/Hannan/222464
volume: 27
issue: 5
More Information: 1155,
1159
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7368917.pdf2.96 MBAdobe PDF