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.

Full text not available from this repository.

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

Actions (login required)

View Item

Downloads

Publication Metrics