Publication

Beyond Cartesian Representations for Local Descriptors

Pascal Fua, Anastasiia Mishchuk, Patrick Winfried Josef Ebel
2019
Conference Papers

Abstract

The dominant approach for learning local patch descriptors relies on small image regions whose scale must be properly estimated a priori by a keypoint detector. In other words, if two patches are not in correspondence, their descriptors will not match. A strategy often used to alleviate this problem is to "pool" the pixel-wise features over log-polar regions, rather than regularly spaced ones.

Official source

https://infoscience.epfl.ch/entities/publication/5553ceaa-49e4-4976-9ef7-f765817260a4

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Beyond Cartesian Representations for Local Descriptors

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