DocumentCode
2520246
Title
2-D object recognition by structured neural networks in a pyramidal architecture
Author
Cantoni, Virginio ; Petrosino, Alfredo
Author_Institution
Dipt. di Inf. e Sistemistica, Pavia Univ., Italy
fYear
2000
fDate
2000
Firstpage
81
Lastpage
86
Abstract
In the paper we propose an approach to the realization of models inspired to biological solutions for pattern recognition. The approach is based on a hierarchical modular structure capable to learn by examples and recognize objects in digital images. The adopted techniques are based on multiresolution image correlation and neural networks. Performance on two different data sets and experimental timings on a SIMD machine are also reported
Keywords
computer architecture; neural nets; object recognition; SIMD machine; hierarchical modular structure; image correlation; object recognition; pattern recognition; pyramidal architecture; structured neural networks; Biological system modeling; Context modeling; Digital images; Hopfield neural networks; Image recognition; Intelligent networks; Neural networks; Neurons; Object recognition; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Architectures for Machine Perception, 2000. Proceedings. Fifth IEEE International Workshop on
Conference_Location
Padova
Print_ISBN
0-7695-0740-9
Type
conf
DOI
10.1109/CAMP.2000.875961
Filename
875961
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