Similarity and Affine Distance Between 2D Point Sets

Michael Werman; Daphna Weinshall

doi:10.1109/ICPR.1994.576419

Similarity and Affine Distance Between 2D Point Sets

Michael Werman, Daphna Weinshall

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

We develop expressions for measuring the distance between 2 0 point sets, which are invariant to either 2 0 affine transformations or 2 0 similarity transformations of the sets, and assuming a known correspondence between the point sets. Moreover, it makes it possible to compute the distance between images under different conditions, including cases where the images are treated asymmetrically. We demonstrate these results with real images. A more comprehensive version of the paper will appear in PAM1 [3].

Original language	English
Pages (from-to)	723-725
Number of pages	3
Journal	Proceedings - International Conference on Pattern Recognition
Volume	1
DOIs	https://doi.org/10.1109/ICPR.1994.576419
State	Published - 1994
Event	Proceedings of the 12th IAPR International Conference on Pattern Recognition. Part 1 (of 3) - Jerusalem, Isr Duration: 9 Oct 1994 → 13 Oct 1994

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© 2011 IEEE Computer Society. All rights reserved.

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Similarity and Affine Distance Between 2D Point Sets

Abstract

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