By Topic

Automatic Camera Calibration with Structure and Motion Recovery from Two Views of a Polyhedral Structure

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

3 Author(s)
Vigueras, F. ; Dept. of Comput. Sci., Center for Res. in Math. (CIMAT), Guanajuato, Mexico ; Santes, M. ; Hayet, J.-B.

This work addresses the problems of (i) self-calibration of a moving camera observing a 3D scene composed by planar structures and (ii) scene segmentation and reconstruction. Although there exist some works intending to deal with these problems, most of them are based on the estimation of the epipolar geometry, non-linear optimization, or linear systems that do not incorporate geometrical consistency and may produce undesirable side-effects. In this paper, we propose a novel iterative linear algorithm that exploits the geometrical and algebraic constraints induced by rigidity and planarity in the scene. Instead of solving a complex multi-linear problem, we solve iteratively several linear problems: coplanar features segmentation, planar projective transferring, epipole computation, and all the plane intersections. Linear methods allow our approach to be suitable for real-time localization and 3D reconstruction, e.g. for autonomous mobile robots applications. Furthermore, we avoid the explicit epipolar geometry computation and all the stability problems commonly associated with it.

Published in:

Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010

Date of Conference:

Sept. 28 2010-Oct. 1 2010