Title :
A New Invariant Descriptor For Shape Representation And Recognition
Author :
Wang, Xiying ; Dai, Guozhong
Author_Institution :
Inst. of Software, Chinese Acad. of Sci., Beijing
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 on translation, rotation and scale transform naturally and without need of a process of normalization. By applying polygonal approximation to the contour firstly, the contour can be represented more efficiently. Moreover, PFD is robust enough to represent the contour even if some transformations happened to it. Finally, we apply PFD to the recognition of static gestures and obtain satisfying results
Keywords :
Fourier transforms; feature extraction; gesture recognition; image representation; object recognition; contour representation; invariant descriptor; polygon Fourier descriptor; polygonal approximation; shape recognition; shape representation; static gesture recognition; Computational intelligence; Computer errors; Fourier transforms; Image processing; Image recognition; Object recognition; Phase frequency detector; Robustness; Shape; Signal processing;
Conference_Titel :
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0707-9
DOI :
10.1109/CIISP.2007.369292