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a new invariant descriptor for shape representation and recognition
Wang Xiying; Dai Guozhong
2007
Conference NameIEEE Symposium on Computational Intelligence in Image and Signal Processing
SourceProceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
Pages48-51
Conference DateAPR 01-05,
Conference PlaceHonolulu, HI
Publish Place345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING
ISBN978-1-4244-0707-1
DepartmentWang, Xiying; Dai, Guozhong Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
English AbstractTraditional 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
KeywordContour 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
SponsorshipIEEE
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/10866
Collection人机交互技术与智能信息处理实验室
Recommended Citation
GB/T 7714
Wang Xiying,Dai Guozhong. a new invariant descriptor for shape representation and recognition[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING,2007:48-51.
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