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 - Graphisme, Vision et Robotique, 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.
Type de document :
Communication dans un congrès
International Conference on Computer Vision & Pattern Recognition (CVPR '93), Jun 1993, New York, United States. IEEE Computer Society, pp.543--548, 1993, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=341077〉. 〈10.1109/CVPR.1993.341077〉
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Soumis le : lundi 20 décembre 2010 - 08:44:41
Dernière modification le : mercredi 11 avril 2018 - 01:56:29

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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. IEEE Computer Society, pp.543--548, 1993, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=341077〉. 〈10.1109/CVPR.1993.341077〉. 〈inria-00548423〉

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