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Auto-calibration via the absolute quadric and scene constraints

Heyden, A. and Huynh, D.Q. (2002) Auto-calibration via the absolute quadric and scene constraints. In: 16th International Conference on Pattern Recognition, 11 - 15 August, Quebec, Canada pp. 631-634.

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    Link to Published Version: http://dx.doi.org/10.1109/ICPR.2002.1048381
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    Abstract

    A scheme is described for incorporation of scene constraints into the structure from motion problem. Specifically, the absolute quadric is recovered with constraints imposed by orthogonal scene planes. The scheme involves a number of steps. A projective reconstruction is first obtained, followed by a linear technique to form an initial estimate of the absolute quadric. A nonlinear iteration then refines this quadric and the camera intrinsic parameters to upgrade the projective reconstruction to Euclidean. Finally, a bundle adjustment algorithm optimizes the Euclidean reconstruction to give a statistically optimal result. This chain of algorithms is essentially the same as used in auto-calibration and the novelty of this paper is the inclusion of orthogonal scene plane constraints in each step. The algorithms involved are demonstrated on both simulated and real data showing the performance and usability of the proposed scheme.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: © 2002 IEEE
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper appears in: Proceedings - International Conference on Pattern Recognition Volume 16, Issue 2, 2002, Pages 631-634
    URI: http://researchrepository.murdoch.edu.au/id/eprint/6031
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