DocumentCode
2310655
Title
A new methodology for computing invariants in computer vision
Author
Lasenby, J. ; Bayro-Corrochano, E. ; Lasenby, A.N. ; Sommer, G.
Author_Institution
Dept. of Eng., Cambridge Univ., UK
Volume
1
fYear
1996
fDate
25-29 Aug 1996
Firstpage
393
Abstract
We present geometric algebra, as a new, framework for the theory and computation of invariants in computer vision and compare it with the currently popular Grassmann-Cayley algebra. We also discuss the formation, of 3D projective invariants in terms of image coordinates
Keywords
computer vision; geometry; linear algebra; 3D projective invariants; Grassmann-Cayley algebra; computer vision; geometric algebra; image coordinates; invariants; Algebra; Application software; Computer vision; Geometry; Laboratories; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546056
Filename
546056
Link To Document