Automatic location of visual features by a system of multilayered perceptrons

1 January 1992

journal article
Published by Institution of Engineering and Technology (IET) in IEE Proceedings F Radar and Signal Processing

Vol. 139 (6) , 405-412
https://doi.org/10.1049/ip-f-2.1992.0058

Abstract

A two-stage neural vision system for locating facial features is described. The first stage generates search regions in an image at low spatial resolution, and the second pinpoints the features at high resolution. Both stages employ multilayered perceptrons trained to detect specific visual details, followed by sophisticated global postprocessing of their outputs. This work demonstrates the power of combining neural feature detection with knowledge-based context-sensitive methods.

Keywords

This publication has 2 references indexed in Scilit:

Image Feature Location in Multi-Resolution Images Using a Hierarchy of Multilayer Perceptrons
Published by Springer Nature ,1992
Parallel Distributed Processing
Published by MIT Press ,1987