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Pseudo Segmentation for Semantic Information-Aware Stereo Matching

文献类型：期刊论文

作者Hua, Shengyou2,3; Sun, Zhiyong3; Song, Bo3; Liang, Pengpeng1; Cheng, Erkang3
刊名IEEE SIGNAL PROCESSING LETTERS
出版日期2022
卷号29
关键词Costs Semantics Feature extraction Image segmentation Task analysis Three-dimensional displays Correlation Deep learning stereo matching pseudo segmenta- tion
ISSN号1070-9908
DOI10.1109/LSP.2022.3158586
通讯作者Song, Bo(songbo@iim.ac.cn) ; Liang, Pengpeng(liangpcs@gmail.com)
英文摘要Stereo matching plays an important role in computer vision and robotics. Though substantial progress has been made on deep learning-based algorithms, the inherent semantic information within the ground truth of the training data for stereo matching has not been well explored. In this letter, we propose to use a pseudo segmentation sub-network to extract additional semantic information. More specifically, we divide the disparity label into groups and let each group correspond to a class for pseudo segmentation. To assist stereo matching with the semantic information obtained from pseudo segmentation, we inject the feature maps at the end of the pseudo segmentation sub-network into the cost volume that is used to infer the pixel-level disparity. To validate the effectiveness of the proposed approach, we select PSMNet (Chang and Chen, 2018)and GwcNet (Guo et al., 2019) as baselines and enhance them with the pseudo segmentation sub-network. Comprehensive experiments are carried out on the Scene Flow, KITTI 2015, and KITTI 2012 datasets, and the results show that our proposed method can improve the performance notably.
资助项目National Natural Science Foundation of China[61806181] ; National Natural Science Foundation of China[61973294] ; KRDP of Anhui Province[201904a05020086] ; CAS[GJTD-2018-15] ; University Synergy Innovation Program of Anhui Province[GXXT-2021-030]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000776043500009
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; KRDP of Anhui Province ; CAS ; University Synergy Innovation Program of Anhui Province
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/128207]  
专题中国科学院合肥物质科学研究院
通讯作者Song, Bo; Liang, Pengpeng
作者单位1.Zhengzhou Univ, Sch Comp & Artificial Intelligence, Zhengzhou 450001, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, Peoples R China
3.Chinese Acad Sci, HFIPS, Inst Intelligent Machines, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714		 Hua, Shengyou,Sun, Zhiyong,Song, Bo,et al. Pseudo Segmentation for Semantic Information-Aware Stereo Matching[J]. IEEE SIGNAL PROCESSING LETTERS,2022,29.
APA Hua, Shengyou,Sun, Zhiyong,Song, Bo,Liang, Pengpeng,&Cheng, Erkang.(2022).Pseudo Segmentation for Semantic Information-Aware Stereo Matching.IEEE SIGNAL PROCESSING LETTERS,29.
MLA Hua, Shengyou,et al."Pseudo Segmentation for Semantic Information-Aware Stereo Matching".IEEE SIGNAL PROCESSING LETTERS 29(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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