DocumentCode
383353
Title
Geometric neurocomputing for pattern recognition and pose estimation
Author
Bayro-Corrochano, Eduardo ; Vallejo, Refugio
Author_Institution
Comput. Sci. Dept., CINVESTAV, Guadalajara, Mexico
Volume
1
fYear
2002
fDate
2002
Firstpage
41
Abstract
Presents a geometric neurocomputing approach for 3D pose recognition using the framework of geometric Clifford algebras. The type of geometric problems like pattern recognition and 3D pose recognition can be very efficiently handled using geometric neural networks. Our experimental part shows the application of generalized Clifford moments for pattern recognition and 3D pose estimation of rigid objects using visual information captured by a trinocular head.
Keywords
feedforward neural nets; geometry; image recognition; multilayer perceptrons; geometric Clifford algebras; geometric neural networks; geometric neurocomputing; pattern recognition; pose estimation; rigid objects; trinocular head; visual information; Algebra; Computer science; Equations; Feedforward neural networks; Neural networks; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1044584
Filename
1044584
Link To Document