A Variational Approach to Problems in Calibration of Multiple Cameras.

Unal, G.B., Yezzi, A.J., Soatto, S. & Slabaugh, G.G. (2007). A Variational Approach to Problems in Calibration of Multiple Cameras.. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(8), pp. 1322-1338. doi: 10.1109/TPAMI.2007.1035

[img]
Preview
PDF - Accepted Version
Download (2MB) | Preview

Abstract

This paper addresses the problem of calibrating camera parameters using variational methods. One problem
addressed is the severe lens distortion in low cost cameras. For many computer vision algorithms aiming at
reconstructing reliable representations of 3D scenes, the camera distortion effects will lead to inaccurate 3D
reconstructions and geometrical measurements if not accounted for. A second problem is the color calibration
problem caused by variations in camera responses that result in different color measurements and affects the
algorithms that depend on these measurements. We also address the extrinsic camera calibration that estimates
relative poses and orientations of multiple cameras in the system, and the intrinsic camera calibration that estimates focal lengths and the skew parameters of the cameras. To address these calibration problems, we present multi-view stereo techniques based on variational methods that utilize partial and ordinary differential equations. Our approach can also be considered as a coordinated refinement of camera calibration parameters. To reduce computational complexity of such algorithms, we utilize prior knowledge on the calibration object, making a piecewise smooth surface assumption, and evolve the pose, orientation, and scale parameters of such a 3D model object without requiring a 2D feature extraction from camera views. We derive the evolution equations for the distortion coefficients, the color calibration parameters, the extrinsic and intrinsic parameters of the cameras, and present experimental results.

Item Type: Article
Additional Information: © © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: calibration, variational methods, color calibration, lens distortion calibration, camera parameters refinement
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/4709

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics