Output details
11 - Computer Science and Informatics
Oxford Brookes University
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Article title
Rotation Averaging
Type
D - Journal article
Title of journal
International Journal of Computer Vision
Article number
-
Volume number
103
Issue number
3
First page of article
267
ISSN of journal
1573-1405
Year of publication
2013
URL
-
Number of additional authors
3
Additional information
<23> The paper makes a thorough study of averaging techniques in the Lie Group of 3-dimensional rotations. This work is applicable to problems where the pose or motion of an object is to be computed from several independent estimates, and applies to computing scene geometry from several images. The focus of the paper is on providing rigorous proofs of convergence and identification of focus of attraction in three different rotation averaging problems under different cost measures. It provides the strongest known convergence guarantees for these problems.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
