arXiv · 2003.13842
Feature Matching and Heat Flow in Centro-Affine Geometry
Abstract
In this paper, we study the differential invariants and the invariant heat flow in centro-affine geometry, proving that the latter is equivalent to the inviscid Burgers' equation. Furthermore, we apply the centro-affine invariants to develop an invariant algorithm to match features of objects appearing in images. We show that the resulting algorithm compares favorably with the widely applied scale-invariant feature transform (SIFT), speeded up robust features (SURF), and affine-SIFT (ASIFT) methods.
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Peter J. Olver, Changzheng Qu, Yun Yang. 2020-03-30. Feature Matching and Heat Flow in Centro-Affine Geometry. https://doi.org/10.3842/sigma.2020.093
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