Scene Parsing From an MAP Perspective
文献类型：期刊论文
| 作者 | Li, Xuelong ; Mou, Lichao; Lu, Xiaoqiang
|
| 刊名 | ieee transactions on cybernetics
 |
| 出版日期 | 2015-09-01 |
| 卷号 | 45期号:9页码:1876-1886 |
| 关键词 | Dynamic dictionary driven by scene low-rank representation classifier (LRRC) Markov random field (MRF) maximum a posterior (MAP) inference prior contextual constraint scene parsing |
| 英文摘要 | scene parsing is an important problem in the field of computer vision. though many existing scene parsing approaches have obtained encouraging results, they fail to overcome within-category inconsistency and intercategory similarity of superpixels. to reduce the aforementioned problem, a novel method is proposed in this paper. the proposed approach consists of three main steps: 1) posterior category probability density function (pdf) is learned by an efficient low-rank representation classifier (lrrc); 2) prior contextual constraint pdf on the map of pixel categories is learned by markov random fields; and 3) final parsing results are yielded up to the maximum a posterior process based on the two learned pdfs. in this case, the nature of being both dense for within-category affinities and almost zeros for intercategory affinities is integrated into our approach by using lrrc to model the posterior category pdf. meanwhile, the contextual priori generated by modeling the prior contextual constraint pdf helps to promote the performance of scene parsing. experiments on benchmark datasets show that the proposed approach outperforms the state-of-the-art approaches for scene parsing. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | image superresolution ; face recognition ; segmentation ; classification ; representation ; surveillance ; framework |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000360019000014 |
| 公开日期 | 2015-10-20 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/25360]  |
| 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 | Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xuelong,Mou, Lichao,Lu, Xiaoqiang. Scene Parsing From an MAP Perspective[J]. ieee transactions on cybernetics,2015,45(9):1876-1886. |
| APA | Li, Xuelong,Mou, Lichao,&Lu, Xiaoqiang.(2015).Scene Parsing From an MAP Perspective.ieee transactions on cybernetics,45(9),1876-1886. |
| MLA | Li, Xuelong,et al."Scene Parsing From an MAP Perspective".ieee transactions on cybernetics 45.9(2015):1876-1886. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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