MRF-Based Disparity Upsampling Using Stereo Confidence Evaluations
Meng, Xiangbing1,2; Zhang, Zhaoxing1; Geng, Zheng1; Zhang, Mei1; Zhang M (张梅)
发表期刊IEEE SIGNAL PROCESSING LETTERS
2018-04-01
卷号25期号:4页码:561-565
文章类型Article
摘要Disparity upsampling methods are derived for restoring high-quality disparity maps from active three-dimensional imaging techniques such as time-of-flight method. Although effective, traditional upsampling methods exhibit certain drawbacks. For example, noisy disparity values in the low-scaled level are taken indiscriminately to carry out the upsampling assignment, which could lead to dramatically weakened results. To solve this problem, we herein present a Markov random field ( MRF) based disparity upsampling method using confidence evaluations. We utilize confidence measures under the stereo configuration to evaluate the reliability of disparity value. The confidence maps are then properly integrated into the state-of-the-artMRF-based depth upsampling (MBU) method to constrain the negative effect caused by the noisy disparity. More specifically, the confidence is used to remove unqualified pixels from participating in the disparity upsampling computation. Extensive experiments were performed to validate the proposed new method. In these experiments, initial low-scaled disparity maps were from either ground truth or stereo matching methods. Results verified that our method can obtain significantly better upsampled disparity maps than that from the original MBU or other nonconfidence-based methods. In addition, we implemented our algorithms on general public utilities to improve the execution speed.
其他摘要无 
关键词Confidence Evaluation Disparity Upsampling Markov Random Field (Mrf) Noise Three-dimensional (3-d) Reconstruction
WOS标题词Science & Technology ; Technology
DOI10.1109/LSP.2017.2787727
关键词[WOS]AUGMENTED REALITY ; DEPTH ; OPTIMIZATION ; FIELD
收录类别SCI
语种英语
项目资助者National High-tech R&D Program (863 Program) of China(2015AA015905) ; National Natural Science Foundation of China(61605240)
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000427642600007
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21702
专题复杂系统管理与控制国家重点实验室_复杂系统研究
通讯作者Zhang M (张梅)
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100049, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
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Meng, Xiangbing,Zhang, Zhaoxing,Geng, Zheng,et al. MRF-Based Disparity Upsampling Using Stereo Confidence Evaluations[J]. IEEE SIGNAL PROCESSING LETTERS,2018,25(4):561-565.
APA Meng, Xiangbing,Zhang, Zhaoxing,Geng, Zheng,Zhang, Mei,&Zhang M .(2018).MRF-Based Disparity Upsampling Using Stereo Confidence Evaluations.IEEE SIGNAL PROCESSING LETTERS,25(4),561-565.
MLA Meng, Xiangbing,et al."MRF-Based Disparity Upsampling Using Stereo Confidence Evaluations".IEEE SIGNAL PROCESSING LETTERS 25.4(2018):561-565.
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