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题名: Self-closed Partial Shape Descriptor For Shape Retrieval
作者: 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: 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
出版日期: 2012
页码: 505-508
收录类别: EI
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/10216
Appears in Collections:机器人学研究室_会议论文

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范慧杰; 丛杨; 唐延东.Self-closed Partial Shape Descriptor For Shape Retrieval.见:IEEE.Proceedings of the 2012 IEEE International Conference on Image Processing ,New York, USA,2012,505-508
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