Automated detection of facial expressions using image analysis
"The broad range of applications for automatic expression detection sparks the need for a robust and effective implementation. In this paper, an exposition of the existing methods most frequently used for this purpose is done, and an analysis of their performance is carried out. These include b...
Guardado en:
| Autores principales: | , |
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| Otros Autores: | |
| Formato: | Proyecto final de Grado |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | http://ri.itba.edu.ar/handle/123456789/1668 |
| Aporte de: |
| Sumario: | "The broad range of applications for automatic expression detection sparks the need for a robust and effective implementation. In this paper, an exposition of the existing methods most frequently used for this purpose is done, and an analysis of their performance is carried out. These include both feature detection methods such as Gabor filters and Histograms of Gradients as well as classifiers based in neural networks. Existing data sets consisting of images of persons faces with a labeled expression are used for training and testing purposes. A success rate of 87.6% is achieved when classifying images with up to four different expressions." |
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