2 December 2013 Epipolar image rectification through geometric algorithms with unknown parameters
José Herraez, Jose Luis Denia, Pablo Navarro, Jaime Rodriguez, M. Teresa Martin
Author Affiliations +
Abstract
Image processing in photogrammetry is commonly used for scene reconstruction. Although two-dimensional applications can be solved using isolated images, reconstruction of three-dimensional scenes usually requires the use of multiple images simultaneously. Epipolar image rectification is a common technique for this purpose. It typically requires internal orientation parameters and, therefore, knowledge of camera calibration and relative orientation parameters between images. A reparameterization of the fundamental matrix through a completely geometric algorithm of seven parameters that enables the epipolar image rectification of a photogrammetric stereo pair without introducing any orientation parameters and without premarking ground control points is presented. The algorithm enables the generation of different stereoscopic models with a single photogrammetric pair from unknown cameras, scanned from a book, or frames from video sequences. Stereoscopic models with no parallaxes have been obtained with a standard deviation of <0.5  pixels .
© 2013 SPIE and IS&T 0091-3286/2013/$25.00 © 2013 SPIE and IS&T
José Herraez, Jose Luis Denia, Pablo Navarro, Jaime Rodriguez, and M. Teresa Martin "Epipolar image rectification through geometric algorithms with unknown parameters," Journal of Electronic Imaging 22(4), 043021 (2 December 2013). https://doi.org/10.1117/1.JEI.22.4.043021
Published: 2 December 2013
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
3D image reconstruction

Cameras

Calibration

3D image processing

Image processing

Photogrammetry

Visual process modeling

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