An Efficient Algorithm for Improved Shape Context Features Cost Matrix Computation
Shape context is not rotation invariant as a local visual feature.To solve this problem,2-D and 1-D Fourier Transformation has been performed on the feature.Based on the property of Fourier Transformation,a fast and efficient method is presented in the cost matrix computation of these improved shape context feature.The analysis shows the time complexity is much lower and the experiments show effective and efficiency of this new algorithm.
shape context feature Fourier Transformation cost matrix
Shanshan Li Yinghai Zhao Jiangan Wang
Dept.of Electric Information Engineering, Changan University, Xian, China The 35th Research Institute of China, Aerospace Science & Industry Corp.Beijing, China
国际会议
西安
英文
1631-1635
2012-08-24(万方平台首次上网日期,不代表论文的发表时间)