Energy-based multi-view piecewise planar stereo
文献类型：期刊论文
| 作者 | Wang, Wei1,2; Hu, Lihua3; Hu, Zhanyi2
|
| 刊名 | SCIENCE CHINA-INFORMATION SCIENCES
 |
| 出版日期 | 2017-03-01 |
| 卷号 | 60期号:3 |
| 关键词 | Piecewise Planar Model Depth Map Plane Fitting Energy Optimization Multi-view Stereo |
| DOI | 10.1007/s11432-015-0710-5 |
| 文献子类 | Article |
| 英文摘要 | The 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. |
| WOS关键词 | GRAPH CUTS |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000394527700004 |
| 资助机构 | National 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) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13336]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 作者单位 | 1.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 |
| 推荐引用方式 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). |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。