Abstract | ||
---|---|---|
A method for automatic detection and localization of faces on digital images is proposed. The method is based on learning by example and multi-resolution analysis of digital images. Special emphasis is put on the management of the learning data, in order to improve the performances. Various experimental results, obtained by using a Multi-Layer Perceptron (MLP) as a classifier, are provided. |
Year | DOI | Venue |
---|---|---|
1994 | 10.1016/0167-8655(94)90027-2 | Pattern Recognition Letters |
Keywords | Field | DocType |
classification,detection and localization of faces,digital image,multi-resolution,multi-layers perceptron,back-propagation,back propagation | Computer vision,Pattern recognition,Computer science,Digital image,Learning by example,Artificial intelligence,Classifier (linguistics),Backpropagation,Perceptron | Journal |
Volume | Issue | ISSN |
15 | 10 | Pattern Recognition Letters |
Citations | PageRank | References |
30 | 46.04 | 4 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gilles Burel | 1 | 297 | 113.35 |
Dominique Carel | 2 | 30 | 46.04 |