Selective Segmentation for Global Optimization of Depth Estimation in Complex Scenes
This paper proposes a segmentation-based global optimization method for depth estimation. Firstly, for obtaining accurate matching cost, the original local stereo matching approach based on self-adapting matching window is integrated with two matching cost optimization strategies aiming at handling...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/868674 |
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| _version_ | 1832553240893325312 |
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| author | Sheng Liu Haiqiang Jin Xiaojun Mao Binbin Zhai Ye Zhan Xiaofei Feng |
| author_facet | Sheng Liu Haiqiang Jin Xiaojun Mao Binbin Zhai Ye Zhan Xiaofei Feng |
| author_sort | Sheng Liu |
| collection | DOAJ |
| description | This paper proposes a segmentation-based global optimization method for depth estimation. Firstly, for obtaining accurate matching cost, the original local stereo matching approach based on self-adapting matching window is integrated with two matching cost optimization strategies aiming at handling both borders and occlusion regions. Secondly, we employ a comprehensive smooth term to satisfy diverse smoothness request in real scene. Thirdly, a selective segmentation term is used for enforcing the plane trend constraints selectively on the corresponding segments to further improve the accuracy of depth results from object level. Experiments on the Middlebury image pairs show that the proposed global optimization approach is considerably competitive with other state-of-the-art matching approaches. |
| format | Article |
| id | doaj-art-11fdda92bedb4c699da906736cd5bc50 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-11fdda92bedb4c699da906736cd5bc502025-02-03T05:54:28ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/868674868674Selective Segmentation for Global Optimization of Depth Estimation in Complex ScenesSheng Liu0Haiqiang Jin1Xiaojun Mao2Binbin Zhai3Ye Zhan4Xiaofei Feng5College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, ChinaSchool of Accounting, Zhejiang University of Finance and Economics, Hangzhou 310018, ChinaCollege of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, ChinaThis paper proposes a segmentation-based global optimization method for depth estimation. Firstly, for obtaining accurate matching cost, the original local stereo matching approach based on self-adapting matching window is integrated with two matching cost optimization strategies aiming at handling both borders and occlusion regions. Secondly, we employ a comprehensive smooth term to satisfy diverse smoothness request in real scene. Thirdly, a selective segmentation term is used for enforcing the plane trend constraints selectively on the corresponding segments to further improve the accuracy of depth results from object level. Experiments on the Middlebury image pairs show that the proposed global optimization approach is considerably competitive with other state-of-the-art matching approaches.http://dx.doi.org/10.1155/2013/868674 |
| spellingShingle | Sheng Liu Haiqiang Jin Xiaojun Mao Binbin Zhai Ye Zhan Xiaofei Feng Selective Segmentation for Global Optimization of Depth Estimation in Complex Scenes The Scientific World Journal |
| title | Selective Segmentation for Global Optimization of Depth Estimation in Complex Scenes |
| title_full | Selective Segmentation for Global Optimization of Depth Estimation in Complex Scenes |
| title_fullStr | Selective Segmentation for Global Optimization of Depth Estimation in Complex Scenes |
| title_full_unstemmed | Selective Segmentation for Global Optimization of Depth Estimation in Complex Scenes |
| title_short | Selective Segmentation for Global Optimization of Depth Estimation in Complex Scenes |
| title_sort | selective segmentation for global optimization of depth estimation in complex scenes |
| url | http://dx.doi.org/10.1155/2013/868674 |
| work_keys_str_mv | AT shengliu selectivesegmentationforglobaloptimizationofdepthestimationincomplexscenes AT haiqiangjin selectivesegmentationforglobaloptimizationofdepthestimationincomplexscenes AT xiaojunmao selectivesegmentationforglobaloptimizationofdepthestimationincomplexscenes AT binbinzhai selectivesegmentationforglobaloptimizationofdepthestimationincomplexscenes AT yezhan selectivesegmentationforglobaloptimizationofdepthestimationincomplexscenes AT xiaofeifeng selectivesegmentationforglobaloptimizationofdepthestimationincomplexscenes |