Recognizing Facial Expressions: A Comparison of Computational Approaches
| Autor: | Tim M. Gale, Bruce Christiansen, Neil Davey, Ray J. Frank, Aruna Shenoy |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Facial expression
Face hallucination business.industry Computer science Dimensionality reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Linear discriminant analysis Expression (mathematics) Support vector machine Face (geometry) Computer vision Artificial intelligence business |
| Zdroj: | Artificial Neural Networks-ICANN 2008 ISBN: 9783540875352 ICANN (1) |
| Popis: | Recognizing facial expressions are a key part of human social interaction,and processing of facial expression information is largely automatic, but it is a non-trivial task for a computational system. The purpose of this work is to develop computational models capable of differentiating between a range of human facial expressions. Raw face images are examples of high dimensional data, so here we use some dimensionality reduction techniques: Linear Discriminant Analysis, Principal Component Analysis and Curvilinear Component Analysis. We also preprocess the images with a bank of Gabor filters, so that important features in the face images are identified. Subsequently the faces are classified using a Support Vector Machine. We show that it is possible to differentiate faces with a neutral expression from those with a smiling expression with high accuracy. Moreover we can achieve this with data that has been massively reduced in size: in the best case the original images are reduced to just 11 dimensions. |
| Databáze: | OpenAIRE |
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