Quasi-Euclidean Epipolar Rectification

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Communicated by Luis Álvarez
Demo edited by Agustín Salgado

Abstract

The standard setup in reconstructing the three-dimensional geometry of a scene from a pair of stereo images is to have them rectified, in which case the apparent motion of points is horizontal. With pinhole cameras, it is always possible to find two homographies that rectify the images. The method of Fusiello and Irsara assumes that both cameras are the same with principal point at the center, but keeps the focal length as an unknown. The virtual rotations of the two cameras are then evaluated to minimize the vertical motion of points.

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  Software Heritage Archive @softwareversion{sw-ipol.2011.m_qer, title = {{Quasi-Euclidean Epipolar Rectification}}, author = {Pascal Monasse, Toni Buades, Julie Digne, Nicolas Limare, Lionel Moisan, Neus Sabater, Zhongwei Tang}, date = {2010-01-01}, license = {GPL-3.0-or-later}, version = {1.0}, swhid = {swh:1:dir:d2f2ac47404fa39a1ca560061606c33d742f6c32;origin=https://doi.org/10.5201/ipol.2011.m_qer;visit=swh:1:snp:6962d21a31666217e209862bcf6b9e2723a7e8fd;anchor=swh:1:rev:e4095e7658dc93ba575617ac1dc7e3e2ca1f277e}, related = {ipol.2011.m_qer}, relatedtype = "Reference article: https://doi.org/10.5201/ipol.2011.m_qer" } % the biblatex-software style extension is recommended for software bibitems
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History

• this article was converted to PDF on 2015-07-06
• the original version was published on 2011-09-13: manuscript, source code
• 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.