Evaluation of point localisation and similarity fusion methods for Gabor jet-based face verification
| Autor: | Daniel González-Jiménez, J.L. Alba-Castro, Josef Kittler, Enrique Argones-Rúa |
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| Rok vydání: | 2007 |
| Předmět: |
business.industry
Feature extraction Pattern recognition Feature selection Linear discriminant analysis Perceptron Similitude Support vector machine ComputingMethodologies_PATTERNRECOGNITION Gabor filter Feature (computer vision) Computer Vision and Pattern Recognition Artificial intelligence business Software Mathematics |
| Zdroj: | IET Computer Vision. 1:101-112 |
| ISSN: | 1751-9640 1751-9632 |
| Popis: | A comparative evaluation of two problems addressed in local Gabor feature-based face recognition is presented: localisation of points for feature extraction, and fusion of Gabor-based local similarity measures. For the former problem, three different point configurations are compared: a face-like mesh, a (rigid) rectangular grid and a shape-driven mesh. Regarding the problem of combining local Gabor similarities for better discrimination between subjects, several state-of-the-art techniques are evaluated: support vector machines, boosting of multilayer perceptrons, sequential floating forward search, a variant of the classical linear discriminant analysis, best individual feature selection, and a closely related technique that has been recently proposed. All the experiments were carried out in configurations I and II of the XM2VTS database. |
| Databáze: | OpenAIRE |
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