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Moving forward in structure from motion

Abstract:
It is well-known that forward motion induces a large number of local minima in the instantaneous least-squares reprojection error. This is caused in part by singularities in the error landscape around the forward direction, and presents a challenge in using existing algorithms for structure-from-motion in autonomous navigation applications. In this paper we prove that imposing a bound on the reconstructed depth of the scene makes the least-squares reprojection error continuous. This has implications for autonomous navigation, as it suggests simple modifications for existing algorithms to minimize the effects of local minima in forward translation.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/CVPR.2007.383117

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-1374-2858


Publisher:
IEEE
Publication date:
2007-07-16
Event title:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007)
Event location:
Minneapolis, MN, USA
Event start date:
2007-06-17
Event end date:
2007-06-22
DOI:
ISSN:
1063-6919
ISBN:
1424411793


Language:
English
Pubs id:
pubs:288543
UUID:
uuid:cad68de2-477b-4e65-a065-dfe4cf3887e3
Local pid:
pubs:288543
Source identifiers:
288543
Deposit date:
2012-12-19
ARK identifier:

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