Object modelling and motion analysis using Clifford algebra
E. Bayro corrochano, and J. Lasenby. Proceedings of Europe-China Workshop on Geometric Modeling and Invariants for Computer Vision, Ed. Roger Mohr and Wu Chengke, page 143--149. (1995)
Abstract
collision detection, motion analysis. This paper discusses a coordinate-free geometric approach to object modelling and the analysis of motion in computer vision. The new technique used to analyse the 3-dimensional transformations involved will be that of Cliord algebra or geometric algebra. This is not an approach designed specically for the task in hand, but rather a framework for almost all mathematical physics. Both object modelling and estimating camera motion from dif-ferent scene projections have been heavily discussed in the literature, however the Cliord algebra based method allows a more elegant reformulation which provides greater geomet-rical insight. The hope is that one can then extend the scope of the techniques to more complicated problems. 1
Description
CiteSeerX — Object modelling and motion analysis using Clifford algebra
%0 Conference Paper
%1 Bayro-corrochano95objectmodelling
%A Bayro corrochano, Eduardo
%A Lasenby, Joan
%B Proceedings of Europe-China Workshop on Geometric Modeling and Invariants for Computer Vision, Ed. Roger Mohr and Wu Chengke
%D 1995
%K geometricalgebra
%P 143--149
%T Object modelling and motion analysis using Clifford algebra
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.454.4245
%X collision detection, motion analysis. This paper discusses a coordinate-free geometric approach to object modelling and the analysis of motion in computer vision. The new technique used to analyse the 3-dimensional transformations involved will be that of Cliord algebra or geometric algebra. This is not an approach designed specically for the task in hand, but rather a framework for almost all mathematical physics. Both object modelling and estimating camera motion from dif-ferent scene projections have been heavily discussed in the literature, however the Cliord algebra based method allows a more elegant reformulation which provides greater geomet-rical insight. The hope is that one can then extend the scope of the techniques to more complicated problems. 1
@inproceedings{Bayro-corrochano95objectmodelling,
abstract = {collision detection, motion analysis. This paper discusses a coordinate-free geometric approach to object modelling and the analysis of motion in computer vision. The new technique used to analyse the 3-dimensional transformations involved will be that of Cliord algebra or geometric algebra. This is not an approach designed specically for the task in hand, but rather a framework for almost all mathematical physics. Both object modelling and estimating camera motion from dif-ferent scene projections have been heavily discussed in the literature, however the Cliord algebra based method allows a more elegant reformulation which provides greater geomet-rical insight. The hope is that one can then extend the scope of the techniques to more complicated problems. 1},
added-at = {2015-11-06T23:55:43.000+0100},
author = {Bayro corrochano, Eduardo and Lasenby, Joan},
biburl = {https://www.bibsonomy.org/bibtex/24a23669c681b9bb2db2613f6baefd847/wolftype},
booktitle = {Proceedings of Europe-China Workshop on Geometric Modeling and Invariants for Computer Vision, Ed. Roger Mohr and Wu Chengke},
description = {CiteSeerX — Object modelling and motion analysis using Clifford algebra},
interhash = {0aac67c214ea5eaaaa5f3387bd80090a},
intrahash = {4a23669c681b9bb2db2613f6baefd847},
keywords = {geometricalgebra},
pages = {143--149},
timestamp = {2015-11-06T23:55:43.000+0100},
title = {Object modelling and motion analysis using Clifford algebra},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.454.4245},
year = 1995
}