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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2885

Title: Manifold optimisation for motion factorisation
Authors: SHAJI, A
CHANDRAN, S
SUTER, D
Issue Date: 2008
Publisher: IEEE
Citation: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6,3555-3558
Abstract: This paper presents a novel formulation for the popular factorisation based solution for Structure from Motion. Since our measurement matrices are populated with incomplete and inaccurate data, SVD based total least squares solution are less than appropriate. Instead, we approach the problem as a non-linear unconstrained minimisation problem on the product manifold of the Special Euclidean Group (SE(3)). The restriction of the domain of optimisation to the SE(3) product manifold not only implies that each intermediate solution is a plausible object motion, but also ensures better intrinsic stability for the minimisation algorithm. We compare our method with existing state of art, and show that our algorithm exhibits superior performance.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/16389
http://hdl.handle.net/100/2885
ISBN: 978-1-4244-2174-9
ISSN: 1051-4651
Appears in Collections:Proceedings papers

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