DocumentCode
446027
Title
Object recognition using neurocomputing and conformal computing geometry
Author
López-Franco, Carlos ; Bayro-Corrochano, Eduardo
Author_Institution
Dept. of Comput. Sci., GEOVIS Lab., Jalisco, Mexico
Volume
3
fYear
2005
fDate
31 July-4 Aug. 2005
Firstpage
1872
Abstract
In this paper we present an object recognition technique based on neural computing and projective invariants but now using an omnidirectional vision system and conformal geometric algebra. We also show how to recover the projective invariants from a catadioptric image, where the projective invariants do not hold. With these invariants we train a multilayer perceptron (MLP) neural network to recognize objects.
Keywords
algebra; computational geometry; computer vision; multilayer perceptrons; object recognition; catadioptric image; conformal computing geometry; conformal geometric algebra; multilayer perceptron neural network; neural computing; object recognition; omnidirectional vision system; projective invariant; Algebra; Cameras; Computational geometry; Computer science; Computer vision; Laboratories; Machine vision; Multilayer perceptrons; Neural networks; Object recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN
0-7803-9048-2
Type
conf
DOI
10.1109/IJCNN.2005.1556165
Filename
1556165
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