ID | 48125 |
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Sort Key | 2
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FullText URL | |
Author | |
Abstract | We optimally estimate the similarity (rotation, translation, and scale change) between two sets of 3-D data in the presence of inhomogeneous and anisotropic noise. Adopting the Lie algebra representation of the 3-D rotational change, we derive the Levenberg-Marquardt procedure for simultaneously optimizing the rotation, the translation, and the scale change. We test the performance of our method using simulated stereo data and real GPS geodetic sensing data. We conclude that the conventional method assuming homogeneous and isotropic noise is insufficient and that our simultaneous optimization scheme can produce an accurate solution.
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Publication Title |
Memoirs of the Faculty of Engineering, Okayama University
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Published Date | 2012-01
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Volume | volume46
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Publisher | Faculty of Engineering, Okayama University
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Start Page | 1
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End Page | 9
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ISSN | 1349-6115
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NCID | AA12014085
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Content Type |
Departmental Bulletin Paper
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OAI-PMH Set |
岡山大学
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language |
English
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Copyright Holders | Copyright © by the authors
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File Version | publisher
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NAID | |
Eprints Journal Name | mfe
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