Scene Parsing From an MAP Perspective
Li, Xuelong; Mou, Lichao; Lu, Xiaoqiang
刊名ieee transactions on cybernetics
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
内容类型期刊论文
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.
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