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2-D Object Recognition by Structured Neural Networks in a Pyramidal Architecture
Padova, Italy September 11-September 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CAMP.2000.875961Fifth IEEE International Workshop on ...
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V. Cantoni, Dipt. di Inf. e Sistemistica, Pavia Univ., Italy
A. Petrosino, Dipt. di Inf. e Sistemistica, Pavia Univ., Italy
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.
Index Terms:
object recognition; object recognition; structured neural networks; pyramidal architecture; pattern recognition; hierarchical modular structure; SIMD machine; image correlation
Citation:
V. Cantoni, A. Petrosino, "2-D Object Recognition by Structured Neural Networks in a Pyramidal Architecture," camp, pp.81, Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000
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