CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Energy-based multi-view piecewise planar stereo
Wang, Wei1,2; Hu, Lihua3; Hu, Zhanyi2
Source PublicationSCIENCE CHINA-INFORMATION SCIENCES
2017-03-01
Volume60Issue:3
SubtypeArticle
AbstractThe piecewise planar model (PPM) is an effective means of approximating a complex scene by using planar patches to give a complete interpretation of the spatial points reconstructed from projected 2D images. The traditional piecewise planar stereo methods suffer from either a very restricted number of directions for plane detection or heavy reliance on the segmentation accuracy of superpixels. To address these issues, we propose a new multi-view piecewise planar stereo method in this paper. Our method formulates the problem of complete scene reconstruction as a multi-level energy minimization problem. To detect planes along principal directions, a novel energy formulation with pair-wise potentials is used to assign an optimal plane for each superpixel in an iterative manner, where reliable scene priors and geometric constraints are incorporated to enhance the modeling efficacy and inference efficiency. To detect non-principal-direction planes, we adopt a multi-direction plane sweeping with a restricted search space method to generate reliable candidate planes. To handle the multi-surface straddling problem of a single superpixel, a superpixel sub-segmenting scheme is proposed and a robust P-n Potts model-like higher-order potential is introduced to refine the resulting depth map. Our method is a natural integration of pixel- and superpixel-level multi-view stereos under a unified energy minimization framework. Experimental results for standard data sets and our own data sets show that our proposed method can satisfactorily handle many challenging factors (e.g., slanted surfaces and poorly textured regions) and can obtain accurate piecewise planar depth maps.
KeywordPiecewise Planar Model Depth Map Plane Fitting Energy Optimization Multi-view Stereo
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11432-015-0710-5
WOS KeywordGRAPH CUTS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61421004 ; Development Project of Henan Provincial Department of Science and Technology(152102310381) ; Scientific Research Starting Foundation for Advanced Talents of Zhoukou Normal University(zknuc2015103) ; 61333015 ; 61273280 ; 61103143 ; U1404620 ; U1404622)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000394527700004
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13336
Collection模式识别国家重点实验室_机器人视觉
Affiliation1.Zhoukou Normal Univ, Sch Network Engn, Zhoukou 466000, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Peoples R China
Recommended Citation
GB/T 7714
Wang, Wei,Hu, Lihua,Hu, Zhanyi. Energy-based multi-view piecewise planar stereo[J]. SCIENCE CHINA-INFORMATION SCIENCES,2017,60(3).
APA Wang, Wei,Hu, Lihua,&Hu, Zhanyi.(2017).Energy-based multi-view piecewise planar stereo.SCIENCE CHINA-INFORMATION SCIENCES,60(3).
MLA Wang, Wei,et al."Energy-based multi-view piecewise planar stereo".SCIENCE CHINA-INFORMATION SCIENCES 60.3(2017).
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