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Projective Reconstruction from Multiple Uncalibrated Images

Long Quan 1 Roger Mohr 1 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : Although metric reconstruction is impossible from uncalibrated images, projective reconstruction from point correspondences of multiple uncalibrated images can be achieved through reference points. This paper describes an algebraic method of projective reconstruction from minimal data, 6 points and 3 images, and a numerical method from heavily redundant data, n ≫ 6 points and m ≫ 3 images. Experimental results for both simulated and real image sequences are presented, and robustness of the method and reconstruction precision of the results are discussed.
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Submitted on : Monday, December 20, 2010 - 8:44:20 AM
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  • HAL Id : inria-00548394, version 1



Long Quan, Roger Mohr. Projective Reconstruction from Multiple Uncalibrated Images. H. Bunke and T. Kanade and H. Noltemeier. Modelling and Planning for Sensor Based Intelligent Robot Systems, 21, World Scientific, pp.236--256, 1995, 9789812797773. ⟨inria-00548394⟩



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