2-D Object Recognition by Structured Neural Networks in a Pyramidal Architecture

  • Authors:

  • V. Cantoni;A. Petrosino

  • Affiliations:

  • -;-

  • Venue:
  • CAMP '00 Proceedings of the Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

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.