NDLI: Camera calibration using spheres: a semi-definite programming approach

Content Provider	IEEE Xplore Digital Library
Author	Agrawal, M. Davis, L.S.
Copyright Year	2003
Description	Author affiliation: SRI Int., Menlo Park, CA, USA (Agrawal, M.)
Abstract	Vision algorithms utilizing camera networks with a common field of view are becoming increasingly feasible and important. Calibration of such camera networks is a challenging and cumbersome task. The current approaches for calibration using planes or a known 3D target may not be feasible as these objects may not be simultaneously visible in all the cameras. In this paper, we present a new algorithm to calibrate cameras using occluding contours of spheres. In general, an occluding contour of a sphere projects to an ellipse in the image. Our algorithm uses the projection of the occluding contours of three spheres and solves for the intrinsic parameters and the locations of the spheres. The problem is formulated in the dual space and the parameters are solved for optimally and efficiently using semidefinite programming. The technique is flexible, accurate and easy to use. In addition, since the contour of a sphere is simultaneously visible in all the cameras, our approach can greatly simplify calibration of multiple cameras with a common field of view. Experimental results from computer simulated data and real world data, both for a single camera and multiple cameras, are presented.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Pattern Analysis & Machine Intelligence (TC-PAMI)
Starting Page	782
Ending Page	789
File Size	854814
Page Count	8
File Format	PDF
ISBN	0769519504
DOI	10.1109/ICCV.2003.1238428
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-13
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Calibration Computer vision Geometry Layout Costs Machine vision Computer science Educational institutions Computational modeling
Content Type	Text
Resource Type	Article

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