Title: | a new invariant descriptor for shape representation and recognition |
Author: | Wang Xiying
; Dai Guozhong
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Source: | Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
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Conference Name: | IEEE Symposium on Computational Intelligence in Image and Signal Processing
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Conference Date: | APR 01-05,
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Issued Date: | 2007
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Conference Place: | Honolulu, HI
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Keyword: | contour representation
; invariant descriptor
; polygon Fourier descriptor
; polygonal approximation
; shape recognition
; shape representation
; static gesture recognition
; Fourier transforms
; feature extraction
; gesture recognition
; image representation
; object recognit
|
Publisher: | 2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING
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Publish Place: | 345 E 47TH ST, NEW YORK, NY 10017 USA
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ISBN: | 978-1-4244-0707-1
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Department: | Wang, Xiying; Dai, Guozhong Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
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Sponsorship: | IEEE
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English Abstract: | Traditional Fourier Descriptor suffers the drawback of being sensitive to translation, rotation and scale transform. This paper presents a new method of shape representation, Polygon Fourier Descriptor (PFD), which can achieve the invariance o |
Content Type: | 会议论文
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URI: | http://ir.iscas.ac.cn/handle/311060/10866
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Appears in Collections: | 人机交互技术与智能信息处理实验室_会议论文
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04221393.pdf(309KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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Recommended Citation: |
Wang Xiying,Dai Guozhong. a new invariant descriptor for shape representation and recognition[C]. 见:IEEE Symposium on Computational Intelligence in Image and Signal Processing. Honolulu, HI. APR 01-05,.
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