回顾仿射不变性

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) Pub Date : 2006-06-17 DOI:10.1109/CVPR.2006.50

Evgeni Begelfor, M. Werman

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引用次数: 158

摘要

本文提出了一种计算点构型的平均和分布的黎曼几何框架，使不同的构型直到仿射变换都被认为是相同的。该算法速度快，具有理论和经验上的鲁棒性。该框架的实用性体现在图像点数据的仿射不变聚类算法中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Affine Invariance Revisited

This paper proposes a Riemannian geometric framework to compute averages and distributions of point configurations so that different configurations up to affine transformations are considered to be the same. The algorithms are fast and proven to be robust both theoretically and empirically. The utility of this framework is shown in a number of affine invariant clustering algorithms on image point data.

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来源期刊

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)

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