Title :
Critical motion sequences for monocular self-calibration and uncalibrated Euclidean reconstruction
Author_Institution :
INRIA, Montbonnot St. Martin, France
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
Keywords :
image reconstruction; image sequences; motion estimation; Euclidean reconstruction; camera motions; critical motion sequences; monocular self-calibration; motion sequences; uncalibrated Euclidean reconstruction; Algorithm design and analysis; Calibration; Cameras; Cause effect analysis; Collision mitigation; Computer vision; Image reconstruction; Layout; Motion analysis; Motion control;
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
Print_ISBN :
0-8186-7822-4
DOI :
10.1109/CVPR.1997.609467
