DocumentCode
2545662
Title
Critical motion sequences for monocular self-calibration and uncalibrated Euclidean reconstruction
Author
Sturm, Peter
Author_Institution
INRIA, Montbonnot St. Martin, France
fYear
1997
fDate
17-19 Jun 1997
Firstpage
1100
Lastpage
1105
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location
San Juan
ISSN
1063-6919
Print_ISBN
0-8186-7822-4
Type
conf
DOI
10.1109/CVPR.1997.609467
Filename
609467
Link To Document