Computer and Modernization

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Research and Application of Fast Polar Shape Descriptor

  

  1. School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou 511483, China
  • Received:2014-11-11 Online:2015-03-23 Published:2015-03-26

Abstract: In real-time shape recognition based on video, the shape descriptor is desired to characterize the shape accurately, and can be extracted fast. To solve this problem, the fast polar shape descriptor (FPSD) is proposed for shape recognition. FPSD sampled one value at each angle frequency, and improved the sampling angle frequencies compared to Zernike Moments (ZM). Vehicle classification video was used for verifying experiments. When the FPSD is used as features for classification, experiments show that the performance of FPSD can be achieved even better than that of ZM, while the computational complexity is much lower than ZM.

Key words: fast polar shape descriptor, Zernike moments, vehicle classification

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