DocumentCode
2480406
Title
A Geometric Radial Basis Function Network for Robot Perception and Action
Author
Vázquez-Santacruz, E. ; Bayro-Corrochano, E.
Author_Institution
CINVESTAV Unidad Guadalajara, Zapopan, Mexico
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
2961
Lastpage
2964
Abstract
This paper presents a new hyper complex valued Radial Basis Network. This network constitutes a generalization of the standard real valued RBF. This geometric RBF can be used in real time to estimate changes in linear transformations between sets of geometric entities. Experiments using stereo image sequences validate this proposal. We propose a Geometric RBF Network (GRBF-N) designed in the geometric algebra framework. We present an application to estimate linear transformations between sets of geometric entities. Our experiments validate our proposal.
Keywords
control engineering computing; image sequences; radial basis function networks; robot vision; stereo image processing; geometric entities; geometric radial basis function network; hypercomplex valued radial basis network; robot action; robot perception; standard real valued RBF; stereo image sequences; Algebra; Argon; Artificial neural networks; Blades; Radial basis function networks; Rotors; Training; RBF; geometric algebra; geometric computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.725
Filename
5595931
Link To Document