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arXiv · 1803.01669

Affine Differential Invariants for Invariant Feature Point Detection

Stanley L. Tuznik·Peter J. Olver·Allen Tannenbaum
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Abstract

Image feature points are detected as pixels which locally maximize a detector function, two commonly used examples of which are the (Euclidean) image gradient and the Harris-Stephens corner detector. A major limitation of these feature detectors are that they are only Euclidean-invariant. In this work we demonstrate the application of a 2D affine-invariant image feature point detector based on differential invariants as derived through the equivariant method of moving frames. The fundamental equi-affine differential invariants for 3D image volumes are also computed.

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Stanley L. Tuznik, Peter J. Olver, Allen Tannenbaum. 2018-03-05. Affine Differential Invariants for Invariant Feature Point Detection. https://arxiv.org/abs/1803.01669

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