DocumentCode :
419394
Title :
Camera self-calibration: a new approach for solving the modulus constraint
Author :
Habed, A. ; Boufama, B.
Author_Institution :
Sch. of Comput. Sci., Windsor Univ., Ont., Canada
Volume :
4
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
116
Abstract :
In this paper, the modulus constraint is used to retrieve the scale factors that are responsible for the nonlinearity of Kruppa´s equations. In the case of constant intrinsic parameters, each pair of images identifies a pair of 3D points at infinity whose coordinates are expressed in terms of the scale factors we are looking for. By enforcing the coplanarity constraint on these points, a set of quintic bivariate equations is obtained for each triplet of images. Once the scale factors are calculated, the problems of retrieving the plane at infinity and solving Kruppa´s equations become straightforward and linear.
Keywords :
calibration; cameras; image processing; camera self-calibration; constant intrinsic parameter; coplanarity constraint; modulus constraint; quintic bivariate equation; Calibration; Cameras; Computer science; Computer vision; Differential equations; H infinity control; Layout; Nonlinear equations; Pattern recognition; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1333719
Filename :
1333719
Link To Document :
بازگشت