By Topic

Camera self-calibration from triplets of images using bivariate polynomials derived from Kruppa's equations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Habed, A. ; Departement d''Informatique, Sherbrooke Univ., Que., Canada ; Boufama, B.

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.

Published in:

Image Processing, 2005. ICIP 2005. IEEE International Conference on  (Volume:2 )

Date of Conference:

11-14 Sept. 2005