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
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