Histogram of Radon Transform with Angle Correlation Matrix for Distortion Invariant Shape Descriptor
Histogram of Radon Transform with Angle Correlation Matrix for Distortion Invariant Shape Descriptor
复制标题
畸变不变形状描述符的带有角度相关矩阵的Radon变换直方图
DOI：
10.1016/j.neucom.2015.04.100
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发表时间：
2016
期刊：
影响因子：
6
通讯作者：
M. Hasegawa and S. Tabbone
中科院分区：
文献类型：
--
作者：
M. Hasegawa and S. Tabbone
提出了一种基于Radon变换（HRT）直方图和角度相关矩阵的形状匹配描述子。我们的描述符HRT的基础上是强大的形状旋转，缩放和平移。形状失真提供相对于我们的描述符上的角度坐标的稀疏和密集失真。因此，我们计算一个角度相关矩阵，并应用动态时间扭曲的非线性角度匹配是强大的这些变换。在波束搜索算法的基础上，提高了算法的时间复杂度。实验表明，我们的方法对仿射失真的鲁棒性在不同类型的数据集上，并与文献进行了比较。
A shape matching descriptor based on the histogram of Radon transform (HRT) with an angle correlation matrix is proposed. Our descriptor based on HRT is robust to shape rotation, scaling, and translation. Shape distortions provide sparse and dense distortions relative to the angle coordinate on our descriptor. Therefore, we compute an angle correlation matrix and apply the dynamic time warping for a non-linear angle matching to be robust to these transformations. Based on the beam search algorithm, we speed-up the time complexity of our method. Robustness to affine distortions for our approach is shown experimentally on different kinds of datasets and compared with the literature.