使用自相似仿射不变描述子的形状匹配

Joonsoo Kim, He Li, Jiaju Yue, E. Delp
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引用次数: 1

摘要

本文引入了一种用于形状检索的自相似仿射不变量(SSAI)形状描述符。SSAI描述符基于这样的性质:两个点的集合通过一个仿射变换进行变换,那么每个点的子集也通过同一个仿射变换进行关联。此外,SSAI描述符对局部形状畸变不敏感。我们使用基于不同相邻点集的多个SSAI描述符来提高形状识别的精度。我们还描述了一种针对多个SSAI描述符的高效图像匹配方法。实验结果表明,我们的方法在两个公开的形状数据集上取得了很好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shape matching using a self similar affine invariant descriptor
In this paper we introduce a shape descriptor known as Self Similar Affine Invariant (SSAI) descriptor for shape retrieval. The SSAI descriptor is based on the property that two sets of points are transformed by an affine transform, then subsets of each set of points are also related by the same affine transformation. Also, the SSAI descriptor is insensitive to local shape distortions. We use multiple SSAI descriptors based on different sets of neighbor points to improve shape recognition accuracy. We also describe an efficient image matching method for the multiple SSAI descriptors. Experimental results show that our approach achieves very good performance on two publicly available shape datasets.
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