Object Recognition Using Log-Polar Wavelet Mapping
Rittavee Matungka, Yuan F. Zheng, Robert L. Ewing · 2008
This paper proposes a rotation and scale invariant object recognition method which combines image feature extraction in Cartesian coordinate with the log-polar mapping and similarity measure techniques for classification. The method yields robustness for fast computation without any rescale needed in the target image. The method also does not use motion estimation. Thus, the method is also robust in recognizing objects without prior information of the objectpsilas motion or previous location. Experiments with real video sequences are provided to verify the effectiveness of the proposed approach in practice.