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Object Discovery via Cohesion Measurement
Guo, Guanjun1,2; Wang, Hanzi1,2; Zhao, Wan-Lei1,2; Yan, Yan1,2; Li, Xuelong3
作者部门光学影像学习与分析中心
2018-03-01
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
卷号48期号:3页码:862-875
产权排序3
摘要Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an object. They are therefore particularly suitable for computer vision tasks, such as saliency detection and object proposal generation. However, image pixels, which share a similar real-world color, may be quite different since colors are often distorted by intensity. In this paper, we reinvestigate the affinity matrices originally used in image segmentation methods based on spectral clustering. A new affinity matrix, which is robust to color distortions, is formulated for object discovery. Moreover, a cohesion measurement (CM) for object regions is also derived based on the formulated affinity matrix. Based on the new CM, a novel object discovery method is proposed to discover objects latent in an image by utilizing the eigenvectors of the affinity matrix. Then we apply the proposed method to both saliency detection and object proposal generation. Experimental results on several evaluation benchmarks demonstrate that the proposed CM-based method has achieved promising performance for these two tasks.
关键词Cohesion Measurement (Cm) Object Proposal Generation Salient Object Detection Spectral Clustering
DOI10.1109/TCYB.2017.2661995
收录类别SCI
语种英语
WOS记录号WOS:000424826800004
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30770
专题光学影像学习与分析中心
作者单位1.Xiamen Univ, Fujian Key Lab Sensing & Comp Smart City, Xiamen 361005, Peoples R China;
2.Xiamen Univ, Sch Informat Sci & Engn, Xiamen 361005, Peoples R China;
3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
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GB/T 7714
Guo, Guanjun,Wang, Hanzi,Zhao, Wan-Lei,et al. Object Discovery via Cohesion Measurement[J]. IEEE TRANSACTIONS ON CYBERNETICS,2018,48(3):862-875.
APA Guo, Guanjun,Wang, Hanzi,Zhao, Wan-Lei,Yan, Yan,&Li, Xuelong.(2018).Object Discovery via Cohesion Measurement.IEEE TRANSACTIONS ON CYBERNETICS,48(3),862-875.
MLA Guo, Guanjun,et al."Object Discovery via Cohesion Measurement".IEEE TRANSACTIONS ON CYBERNETICS 48.3(2018):862-875.
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