Title :
A note on averaging rotations
Author :
Curtis, W. Dan ; Janin, Adam L. ; Zikan, Karel
Author_Institution :
Boeing Comput. Services, Seattle, WA, USA
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;
Conference_Titel :
Virtual Reality Annual International Symposium, 1993., 1993 IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-1363-1
DOI :
10.1109/VRAIS.1993.380755
