DocumentCode :
442862
Title :
Camera self-calibration from triplets of images using bivariate polynomials derived from Kruppa´s equations
Author :
Habed, A. ; Boufama, B.
Author_Institution :
Departement d´´Informatique, Sherbrooke Univ., Que., Canada
Volume :
2
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
In this paper, new equations for the self-calibration of a moving camera with unchanged intrinsic parameters are proposed. Unlike most existing methods that require solving equations in three or more unknowns, our equations are only bivariate. The two unknowns, in our equations, are the scale factors that are responsible for the nonlinearity of Kruppa´s equations due to a triplet of images. Once the scale factors are calculated, Kruppa´s coefficients are linearly retrieved. The results of our experiments, conducted on simulated and real data, are also presented.
Keywords :
calibration; cameras; polynomials; Kruppa equations; bivariate polynomials; camera self-calibration; Cameras; Computer science; Differential equations; H infinity control; Image reconstruction; Layout; Nonlinear equations; Polynomials; Thyristors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530270
Filename :
1530270
Link To Document :
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