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Interactive stereo image segmentation via adaptive prior selection | |
Ma, Wei1; Qin, Yue1; Xu, Shibiao2; Zhang, Xiaopeng2 | |
发表期刊 | MULTIMEDIA TOOLS AND APPLICATIONS |
ISSN | 1380-7501 |
2018-11-01 | |
卷号 | 77期号:21页码:28709-28724 |
通讯作者 | Xu, Shibiao(shibiao.xu@ia.ac.cn) ; Zhang, Xiaopeng(xiaopeng.zhang@ia.ac.cn) |
摘要 | Interactive stereo image segmentation (i.e., cutting out objects from stereo pairs with limited user assistance) is an important research topic in computer vision. Given a pair of images, users mark a few foreground/background pixels, based on which prior models are formulated for labeling unknown pixels. Note that color priors might not help if the marked foreground and background have similar colors. However, integrating multiple types of priors, e.g., color and disparity in segmenting stereo pairs, is not trivial. This is because differing pairs of images and even differing pixels in the same image might require different proportions of the priors. Besides, disparities of natural images are too noisy to be directly used. This paper presents a method that can adaptively determine the proportion of the priors (color or disparity) for each pixel. Specifically speaking, the segmentation problem is defined in the framework of MRF (Markov Random Field). We formulate an MRF energy function which is composed of clues from the two types of priors, as well as neighborhood smoothness and stereo correspondence constraints. The weights of the color and disparity priors at each pixel are treated as variables which are optimized together with the label (foreground or background) of the pixel. In order to overcome the noise problem, the weight of the disparity prior is controlled by a confidence value learned from data. The energy function is optimized by using multi-label graph cut. Experimental results show that our method performs well. |
关键词 | Stereo image segmentation Interactive segmentation Prior selection Multi-label MRF Graph cut |
DOI | 10.1007/s11042-018-6067-5 |
关键词[WOS] | GRAPH CUTS |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Beijing Municipal Natural Science Foundation[4152006] ; Open Project Program of the National Laboratory of Pattern Recognition (NLPR)[4152006] ; Scientific Research Project of Beijing Educational Committee[KM201510005015] ; National Natural Science Foundation of China[61502490] ; National Natural Science Foundation of China[61671451] ; National Natural Science Foundation of China[61379096] ; National Natural Science Foundation of China[61771026] ; National Natural Science Foundation of China[61771026] ; National Natural Science Foundation of China[61379096] ; National Natural Science Foundation of China[61671451] ; National Natural Science Foundation of China[61502490] ; Scientific Research Project of Beijing Educational Committee[KM201510005015] ; Open Project Program of the National Laboratory of Pattern Recognition (NLPR)[4152006] ; Beijing Municipal Natural Science Foundation[4152006] |
项目资助者 | National Natural Science Foundation of China ; Scientific Research Project of Beijing Educational Committee ; Open Project Program of the National Laboratory of Pattern Recognition (NLPR) ; Beijing Municipal Natural Science Foundation |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000446601500038 |
出版者 | SPRINGER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23050 |
专题 | 多模态人工智能系统全国重点实验室_三维可视计算 |
通讯作者 | Xu, Shibiao; Zhang, Xiaopeng |
作者单位 | 1.Beijing Univ Technol, Fac Informat Technol, 100 Pingleyuan St, Beijing 100124, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Ma, Wei,Qin, Yue,Xu, Shibiao,et al. Interactive stereo image segmentation via adaptive prior selection[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(21):28709-28724. |
APA | Ma, Wei,Qin, Yue,Xu, Shibiao,&Zhang, Xiaopeng.(2018).Interactive stereo image segmentation via adaptive prior selection.MULTIMEDIA TOOLS AND APPLICATIONS,77(21),28709-28724. |
MLA | Ma, Wei,et al."Interactive stereo image segmentation via adaptive prior selection".MULTIMEDIA TOOLS AND APPLICATIONS 77.21(2018):28709-28724. |
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