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
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 |
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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: | 18 Mar 2021 21:15 |
URI: | https://shura.shu.ac.uk/id/eprint/2403 |
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