用于形状检索的分层procruster匹配

Graham Mcneill, S. Vijayakumar
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引用次数: 146

摘要

本文介绍了一种基于分段的形状匹配算法——分层Procrustes匹配(HPM),该算法避免了纯全局或局部方法的相关问题,并在基准形状检索测试中表现良好。形状表示的简单性导致了一种强大的匹配算法,该算法结合了关于形状感知本质的直观想法,同时具有计算效率。这包括匹配相似部分的能力,即使它们出现在不同的尺度或位置。虽然多尺度形状表示的比较通常是基于特定的特征,但HPM避免了提取这些特征的需要。该算法的层次结构抓住了一个吸引人的概念,即匹配应该从全局到局部方向进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical Procrustes Matching for Shape Retrieval
We introduce Hierarchical Procrustes Matching (HPM), a segment-based shape matching algorithm which avoids problems associated with purely global or local methods and performs well on benchmark shape retrieval tests. The simplicity of the shape representation leads to a powerful matching algorithm which incorporates intuitive ideas about the perceptual nature of shape while being computationally efficient. This includes the ability to match similar parts even when they occur at different scales or positions. While comparison of multiscale shape representations is typically based on specific features, HPM avoids the need to extract such features. The hierarchical structure of the algorithm captures the appealing notion that matching should proceed in a global to local direction.
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