Object Discovery via Cohesion Measurement
文献类型：期刊论文
| 作者 | Guo, Guanjun1,2; Wang, Hanzi1,2; Zhao, Wan-Lei1,2; Yan, Yan1,2; Li, Xuelong3
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| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
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| 出版日期 | 2018-03-01 |
| 卷号 | 48期号:3页码:862-875 |
| 关键词 | Cohesion Measurement (Cm) Object Proposal Generation Salient Object Detection Spectral Clustering |
| ISSN号 | 2168-2267 |
| DOI | 10.1109/TCYB.2017.2661995 |
| 产权排序 | 3 |
| 英文摘要 | 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. |
| 语种 | 英语 |
| WOS记录号 | WOS:000424826800004 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/30770]  |
| 专题 | 西安光学精密机械研究所_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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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