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Pairwise Three-Dimensional Shape Context for Partial Object Matching and Retrieval on Mobile Laser Scanning Data
Yu, Yongtao ; Li, Jonathan ; Yu, Jun ; Guan, Haiyan ; Wang, Cheng ; Li J(李军) ; Yu J(俞俊) ; Wang C(王程)
刊名http://dx.doi.org/10.1109/LGRS.2013.2285237
2014
关键词LIDAR DATA MODELS POINT EXTRACTION SEARCH
英文摘要A novel pairwise 3-D shape context for partial object matching and retrieval is developed for extracting 3-D light poles and trees from mobile laser scanning (MLS) point clouds in a typical urban street scene. Unlike the single-point shape context describing only the local topology of a shape, the pairwise 3-D shape context can simultaneously model the local and global geometric structures of a shape in manifold space. By using histogram descriptors, the pairwise 3-D shape context has such characteristics as invariance to scale, invariance to orientation, and partial insensitivity to topological changes. Our results show that 3-D light poles and individual trees can be extracted from the RIEGL VMX-450 MLS point clouds and the performance achieved using our algorithm is much more accurate and effective than those of the other two existing algorithms.
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/92694]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
Yu, Yongtao,Li, Jonathan,Yu, Jun,et al. Pairwise Three-Dimensional Shape Context for Partial Object Matching and Retrieval on Mobile Laser Scanning Data[J]. http://dx.doi.org/10.1109/LGRS.2013.2285237,2014.
APA Yu, Yongtao.,Li, Jonathan.,Yu, Jun.,Guan, Haiyan.,Wang, Cheng.,...&王程.(2014).Pairwise Three-Dimensional Shape Context for Partial Object Matching and Retrieval on Mobile Laser Scanning Data.http://dx.doi.org/10.1109/LGRS.2013.2285237.
MLA Yu, Yongtao,et al."Pairwise Three-Dimensional Shape Context for Partial Object Matching and Retrieval on Mobile Laser Scanning Data".http://dx.doi.org/10.1109/LGRS.2013.2285237 (2014).
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