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PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching

文献类型：期刊论文

作者Xu, Shibiao1; Zhang, Feihu2; He, Xiaofei3; Shen, Xukun1; Zhang, Xiaopeng2
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2015-07-01
卷号24期号:7页码:2182-2196
关键词Object segmentation stereo matching Potts model PatchMatch multiple view reconstruction
英文摘要This paper presents a unified variational formulation for joint object segmentation and stereo matching, which takes both accuracy and efficiency into account. In our approach, depth-map consists of compact objects, each object is represented through three different aspects: 1) the perimeter in image space; 2) the slanted object depth plane; and 3) the planar bias, which is to add an additional level of detail on top of each object plane in order to model depth variations within an object. Compared with traditional high quality solving methods in low level, we use a convex formulation of the multilabel Potts Model with PatchMatch stereo techniques to generate depth-map at each image in object level and show that accurate multiple view reconstruction can be achieved with our formulation by means of induced homography without discretization or staircasing artifacts. Our model is formulated as an energy minimization that is optimized via a fast primal-dual algorithm, which can handle several hundred object depth segments efficiently. Performance evaluations in the Middlebury benchmark data sets show that our method outperforms the traditional integer-valued disparity strategy as well as the original PatchMatch algorithm and its variants in subpixel accurate disparity estimation. The proposed algorithm is also evaluated and shown to produce consistently good results for various real-world data sets (KITTI benchmark data sets and multiview benchmark data sets).
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]CORRESPONDENCE FIELD ESTIMATION ; BELIEF PROPAGATION ; IMAGE SEGMENTATION ; GRAPH CUTS ; COST AGGREGATION ; OPTIMIZATION ; MINIMIZATION ; ALGORITHMS ; SEARCH ; COLOR
收录类别SCI
语种英语
WOS记录号WOS:000352732800006
公开日期2015-09-22
源URL[http://ir.ia.ac.cn/handle/173211/8106]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位1.Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Zhejiang Univ, Coll Comp Sci, Hangzhou 310027, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Shibiao,Zhang, Feihu,He, Xiaofei,et al. PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(7):2182-2196.
APA Xu, Shibiao,Zhang, Feihu,He, Xiaofei,Shen, Xukun,&Zhang, Xiaopeng.(2015).PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(7),2182-2196.
MLA Xu, Shibiao,et al."PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.7(2015):2182-2196.

入库方式： OAI收割

来源：自动化研究所

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