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Relative 3-D Reconstruction Using Multiple Uncalibrated Images

Roger Mohr 1, 2 Françoise Veillon 2 Long Quan 1, 2
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 : It is shown how relative 3-D reconstruction for point correspondence of multiple images from uncalibrated cameras can be achieved through reference points. The original contributions with respect to other related works in the field are a direct global method for relative 3-D reconstruction and a geometrical method to select a correct set of reference points among all image points. Experimental results from both simulated and real image sequences are presented.
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https://hal.inria.fr/inria-00548423
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Submitted on : Monday, December 20, 2010 - 8:44:41 AM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM

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Roger Mohr, Françoise Veillon, Long Quan. Relative 3-D Reconstruction Using Multiple Uncalibrated Images. International Conference on Computer Vision & Pattern Recognition (CVPR '93), Jun 1993, New York, United States. pp.543--548, ⟨10.1109/CVPR.1993.341077⟩. ⟨inria-00548423⟩

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