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An Ef'cient Algorithm for Improved Shape Context Features Cost Matrix Computation

机译:一种改进的形状上下文特征代价矩阵计算的高效算法

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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.
机译:形状上下文作为局部视觉特征不是旋转不变的。为了解决此问题,已对该特征执行了2维和1维傅里叶变换。基于傅立叶变换的性质,在这些改进的形状上下文特征的代价矩阵计算中提出了一种快速有效的方法。分析表明,该算法的时间复杂度要低得多,实验表明该算法是有效的。

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