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Combining scene and auto-calibration constraints

Abstract:
We present a simple approach to combining scene and auto-calibration constraints for the calibration of cameras from single views and stereo pairs. Calibration constraints are provided by imaged scene structure, such as vanishing points of orthogonal directions, or rectified planes. In addition, constraints are available from the nature of the cameras and the motion between views. We formulate these constraints in terms of the geometry of the imaged absolute conic and its relationship to pole-polar pairs and the imaged circular points of planes. Three significant advantages result: first, constraints from scene features, camera characteristics and auto-calibration constraints provide linear equations in the elements of the image of the absolute conic. This means that constraints may easily be combined, and their solution is straightforward. Second, the degeneracies that occur when constraints are not independent may be easily identified. Lastly, the constraints from scene planes and image planes may be treated uniformly. Examples of various cases of constraint combination and degeneracy as well as computational techniques are presented.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/iccv.1999.791233

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573


Publisher:
IEEE
Host title:
Proceedings of the Seventh IEEE International Conference on Computer Vision
Volume:
1
Pages:
293-300
Publication date:
2002-08-06
Event title:
7th IEEE International Conference on Computer Vision (ICCV 1999)
Event location:
Corfu, Greece
Event start date:
1999-09-20
Event end date:
1999-09-25
DOI:
ISBN:
0769501648


Language:
English
Keywords:
Pubs id:
1770567
Local pid:
pubs:1770567
Deposit date:
2024-07-26

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