Estimating Rigid Motions via the Conformal Model of Euclidean Space

I
ICPR
2004
17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Abstract - Estimating Rigid Motions via the Conformal Model of Euclidean Space

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17th International Conference on Pattern Recognition (ICPR'04) - Volume 2

Cambridge UK

August 23-August 26

ISBN: 0-7695-2128-2

	ASCII Text	x
	David Tweed, "Estimating Rigid Motions via the Conformal Model of Euclidean Space," Pattern Recognition, International Conference on, vol. 2, pp. 171-174, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004.

	BibTex	x
	@article{ 10.1109/ICPR.2004.1334088, author = {David Tweed}, title = {Estimating Rigid Motions via the Conformal Model of Euclidean Space}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2004}, issn = {1051-4651}, pages = {171-174}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334088}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Estimating Rigid Motions via the Conformal Model of Euclidean Space SN - 1051-4651 SP171 EP174 A1 - David Tweed, PY - 2004 KW - Euclidean geometry KW - rigid motion estimation VL - 2 JA - Pattern Recognition, International Conference on ER -

David Tweed, Edinburgh University, UK

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334088

Estimating rigid motions from 3-D point correspondances and image projections is an important computer vision problem. We present a novel estimation algorithm using the recent conformal model of Euclidean space. We derive an origin independent semi-closed form for the optimal transformation, solving it using an SVD-based technique.

Index Terms:

Euclidean geometry, rigid motion estimation

Citation:

David Tweed, "Estimating Rigid Motions via the Conformal Model of Euclidean Space," icpr, vol. 2, pp.171-174, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004

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