An Affine Invariant Patch Similarity

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Communicated by Pablo Arias
Demo edited by Pablo Arias

Abstract

Image and video comparison is often approached by comparing patches of visual information. In this work we present a detailed description and implementation of an affine invariant patch similarity measure that performs an appropriate patch comparison by automatically and intrinsically adapting the size and shape of the patches. We also describe the complete implementation of the proposed iterative algorithm for computation of those shape-adaptive patches around each point in the image domain.

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• source code: ZIP SWHID info
  Software Heritage Archive @softwareversion{sw-ipol.2018.202, title = {{An Affine Invariant Patch Similarity}}, author = {Vadim Fedorov, Coloma Ballester}, date = {2017-01-27}, license = {BSD-2-Clause}, version = {1.0}, swhid = {swh:1:dir:525e8c107b33c550e8e89c30228148030ba8843f;origin=https://doi.org/10.5201/ipol.2018.202;visit=swh:1:snp:3f92534f6abd5b0f86029c96f9f762ed4707ae4f;anchor=swh:1:rel:3ed020a8ead1b27e24dddeaf545b7ac0e2c434c3}, related = {ipol.2018.202}, relatedtype = "Reference article: https://doi.org/10.5201/ipol.2018.202" } % the biblatex-software style extension is recommended for software bibitems
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History

• Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.