Paper Info
Title
Calibration with Robust Use of Cheirality by Quasi-Affine Reconstruction of the Set of Camera Projection Centres
Abstract
A method for upgrading a projective reconstruction to metric is presented. The reconstruction is first transformed by considering cheirality so that the convex hull of the set of camera projection centres is the same as in the metric counterpart. The method then proceeds iteratively and starting from such a reconstruction is a necessary condition for many iterative calibration algorithms to converge. The results show that in practice it is also most often sufficient, provided that the minimised objective function is a geometrically meaningful quantity. The method has been found extremely reliable for both large and small reconstructions in a large number of experiments on real data. When subjected to the common degeneracy of little or no rotation between the views, the method still yields a very reasonable member of the family of possible solutions. Furthermore, the method is very fast and therefore suitable for the purpose of viewing reconstructions.
Year
DOI
Venue
2001
10.1109/ICCV.2001.937612
ICCV
Keywords
Field
DocType
calibration,image reconstruction,calibration,camera projection centres,cheirality,convex hull,iterative calibration,projective reconstruction,quasi-affine reconstruction,robust,viewing reconstructions
Iterative reconstruction,Computer vision,Affine reconstruction,Computer science,Convex hull,Degeneracy (mathematics),Projective reconstruction,Artificial intelligence,Calibration
Conference
Volume
Issue
Citations 
2
1
10
PageRank 
References 
Authors
0.64
14
1
Name
Order
Citations
PageRank
David Nistér12265118.02