DOG ACCURACY VIA EQUIVARIANCE: GET THE INTERPOLATION RIGHT
Václav Vávra, Dmytro Mishkin, Jiří Matas
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Lecture
11 Oct 2023
We study the influence of image interpolation algorithms on local feature detectors operating on a scale pyramid, focusing on the Difference-of-Gaussian, as used in SIFT. We show that commonly used implementations, such as in OpenCV and Kornia, are neither rotational nor scale equivariant. We present a simple solution and demonstrate its positive influence on the downstream image matching tasks. The implementation of the method has been accepted in standard libraries OpenCV and Kornia.