Similarity and affine invariant distances between 2D point sets (original) (raw)

1995, IEEE Transactions on Pattern Analysis and Machine Intelligence

AI-generated Abstract

This paper introduces new methods for measuring similarity between two-dimensional point sets, focusing on affine invariant distances. The proposed distances are shown to be robust against affine transformations, such as scaling, translation, and rotation, allowing for accurate comparison of spatial distributions. Experimental results demonstrate the effectiveness of the new metrics over traditional approaches.

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