Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction

Peter Sturm 1
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 : In this paper, sequences of camera motions that lead to inherent ambiguities in uncalibrated Euclidean reconstruction or self-calibration are studied. Our main contribution is a complete, detailed classification of these critical motion sequences (CMS). The practically important classes are identified and their degrees of ambiguity are derived. We also discuss some practical issues, especially concerning the reduction of the ambiguity of a reconstruction.
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Communication dans un congrès
IEEE Conference on Computer Vision and Pattern Recognition (CVPR '97), Jun 1997, San Juan, Puerto Rico. IEEE Computer Society, pp.1100-1105, 1997, 〈10.1109/CVPR.1997.609467〉
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Peter Sturm. Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR '97), Jun 1997, San Juan, Puerto Rico. IEEE Computer Society, pp.1100-1105, 1997, 〈10.1109/CVPR.1997.609467〉. 〈inria-00525689〉

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