Visual learning of texture descriptors for facial expression recognition in thermal imagery

Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an illumination independent approach for facial expression recognition based on long wave infrared imagery. In general, facial expression recognition systems are designed considering the visible spectrum. This makes the recognition process not robust enough to be deployed in poorly illuminated environments. Common approaches to facial expression recognition of static images are designed considering three main parts: 1) Region of Interest Selection, 2) Feature Extraction, and 3) Image Classification. Most published articles propose methodologies that solve each of these tasks in a decoupled way. We propose a Visual Learning approach based on Evolutionary Computation that solves the first two tasks simultaneously using a single evolving process. The first task consists in the selection of a set of suitable regions where the feature extraction is p...

• Type: Journal
• Year: 2007
• Where: CVIU
• Authors: Benjamín Hernández, Gustavo Olague, Riad I. Hammoud, Leonardo Trujillo, Eva Romero
• Keywords: CVIU 2007, Expression Recognition Systems, Facial Expression Recognition, Illumination Independent Approach