中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Self-closed Partial Shape Descriptor For Shape Retrieval

文献类型:会议论文

作者Fan HJ(范慧杰); Cong Y(丛杨); Tang YD(唐延东)
出版日期2012
会议名称2012 IEEE International Conference on Image Processing
会议日期September 30 - October 3, 2012
会议地点Orland, Florida, USA
关键词partial shape descriptor shape retrieval MPEG7 shape database RST transformation
页码505-508
通讯作者范慧杰
中文摘要We propose a discriminative partial-based algorithm for shape recognition and retrieval. A key distinction of our approach is that we use pairwise geometric relations between contour fragments containing important and salient shape information to establish self-closed partial descriptor (SCPD), it can capture similar local parts in matching shape contours and meanwhile overcome part occlusion and distortion. We establish local coordinate system for each fragment to make sure SCPD is invariant to RST (rotation, scaling, and translation) transformation. In the matching stage, a scale approximation scheme is used to get rid of invalid matches. We experiment on MPEG7 shape database, and experimental results illustrate that our algorithm performs well on shape retrieval.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Signal Processing Society
会议录Proceedings of the 2012 IEEE International Conference on Image Processing
会议录出版者IEEE
会议录出版地New York, USA
语种英语
ISBN号978-1-4673-2533-2
WOS记录号WOS:000319334900122
源URL[http://ir.sia.cn/handle/173321/10216]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Fan HJ,Cong Y,Tang YD. Self-closed Partial Shape Descriptor For Shape Retrieval[C]. 见:2012 IEEE International Conference on Image Processing. Orland, Florida, USA. September 30 - October 3, 2012.

入库方式: OAI收割

来源:沈阳自动化研究所

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