Manifold optimisation for motion factorisation
DSpace at IIT Bombay
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Title |
Manifold optimisation for motion factorisation
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Creator |
SHAJI, A
CHANDRAN, S SUTER, D |
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Description |
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.
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Publisher |
IEEE
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Date |
2011-10-27T18:45:51Z
2011-12-15T09:12:46Z 2011-10-27T18:45:51Z 2011-12-15T09:12:46Z 2008 |
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Type |
Proceedings Paper
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Identifier |
19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6,3555-3558
978-1-4244-2174-9 1051-4651 http://dspace.library.iitb.ac.in/xmlui/handle/10054/16389 http://hdl.handle.net/100/2885 |
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Source |
19th International Conference on Pattern Recognition (ICPR 2008),Tampa, FL,DEC 08-11, 2008
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Language |
English
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