DocumentCode
2501050
Title
A note on averaging rotations
Author
Curtis, W. Dan ; Janin, Adam L. ; Zikan, Karel
Author_Institution
Boeing Comput. Services, Seattle, WA, USA
fYear
1993
fDate
18-22 Sep 1993
Firstpage
377
Lastpage
385
Abstract
Computing average rotations is a fundamental sensor fusion problem. In virtual reality, the problem naturally arises in connection with position sensing. Two methods are derived for additive averaging of rotations. One of these methods, based on quarternions, is limited to averages of three-dimensional rotations, but the other method, based on singular value decomposition, works in any Euclidean space
Keywords
computational geometry; position measurement; rotation; sensor fusion; singular value decomposition; virtual reality; 3D rotations; Euclidean space; additive averaging; average rotations; position sensing; quarternions; sensor fusion; singular value decomposition; virtual reality; Image sensors; Jitter; Matrix decomposition; Quaternions; Singular value decomposition; Space technology; Virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Virtual Reality Annual International Symposium, 1993., 1993 IEEE
Conference_Location
Seattle, WA
Print_ISBN
0-7803-1363-1
Type
conf
DOI
10.1109/VRAIS.1993.380755
Filename
380755
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