Statistical image analysis for pose estimation without point correspondences

LIU, Y. H. and RODRIGUES, M. A. (2001). Statistical image analysis for pose estimation without point correspondences. Pattern Recognition Letters, 22 (11), 1191-1206.

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Link to published version:: https://doi.org/10.1016/S0167-8655(01)00052-6
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    Abstract

    We propose a novel algorithm for correspondenceless pose estimation based on a realistic camera setup for a class of industrial problems. The algorithm provides unique closed form solutions to all parameters of interest and its superior performance is demonstrated by extensive comparisons with an epipolar geometry-based algorithm. (C) 2001 Elsevier Science B.V. All rights reserved.

    Item Type: Article
    Additional Information: 52nd ISI Session on Statistical Methods for Image Processing Conference, AUG 06-09, 1999 UPPSALA, SWEDEN
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Identification Number: https://doi.org/10.1016/S0167-8655(01)00052-6
    Page Range: 1191-1206
    Depositing User: Ann Betterton
    Date Deposited: 17 Nov 2010 14:59
    Last Modified: 13 Jun 2017 12:47
    URI: http://shura.shu.ac.uk/id/eprint/2403

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