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Self-closed Partial Shape Descriptor For Shape Retrieval
Fan HJ(范慧杰); Cong Y(丛杨); Tang YD(唐延东)
作者部门机器人学研究室
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
会议主办者IEEE Signal Processing Society
会议录名称Proceedings of the 2012 IEEE International Conference on Image Processing
出版者IEEE
出版地New York, USA
2012
页码505-508
收录类别EI ; CPCI(ISTP)
EI收录号20131116112344
WOS记录号WOS:000319334900122
产权排序1
ISBN号978-1-4673-2533-2
关键词Partial Shape Descriptor Shape Retrieval Mpeg7 Shape Database Rst Transformation
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.
语种英语
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被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10216
专题机器人学研究室
通讯作者Fan HJ(范慧杰)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
2.Graduate University of the Chinese Academy of Science, Beijing 100049, China
推荐引用方式
GB/T 7714
Fan HJ,Cong Y,Tang YD. Self-closed Partial Shape Descriptor For Shape Retrieval[C]//IEEE Signal Processing Society. New York, USA:IEEE,2012:505-508.
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