Critical motion sequences for monocular self-calibration and uncalibrated Euclidean reconstruction
- 17 June 1997
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1100-1105
- https://doi.org/10.1109/cvpr.1997.609467
Abstract
International audienceIn 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 reconstructionKeywords
This publication has 10 references indexed in Scilit:
- Stereo from uncalibrated camerasPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Self-calibration of the intrinsic parameters of cameras for active vision systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Active calibration: alternative strategy and analysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Dynamic camera self-calibration from controlled motion sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Critical motion sequences for monocular self-calibration and uncalibrated Euclidean reconstructionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Autocalibration and the absolute quadricPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Euclidean reconstruction from constant intrinsic parametersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Stratification of three-dimensional vision: projective, affine, and metric representationsJournal of the Optical Society of America A, 1995
- A theory of self-calibration of a moving cameraInternational Journal of Computer Vision, 1992
- Inherent ambiguities in recovering 3-D motion and structure from a noisy flow fieldPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989