Publication
Spatio-temporal reasoning for reliable facial expression interpretation
Conference Article
Conference
International Conference on Computer Vision Systems (ICVS)
Edition
5th
Pages
1-10
Doc link
http://biecoll.ub.uni-bielefeld.de/volltexte/2007/90/
File
Authors
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Orozco, Francisco Javier
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García Otero, Fabio Alejandro
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Arcos Rosell, Josep Lluís
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Gonzàlez Sabaté, Jordi
Projects associated
Abstract
Understanding human behaviours and emotions has received contributions from image analysis and pattern recognition techniques in order to tackle this challenge. The most popular facial expression classifiers deal with eyebrows and lips while avoiding eyelid motion. According to psychologists, eye motion is relevant for trust and deceit analysis as well for dichotomizing near facial expressions. Unlike previous approaches, we include the eyelid motion by constructing an appearance-based tracker (ABT). Subsequently, a Case-Based Reasoning (CBR) approach is applied by training a case-base with seven facial actions. We classify new facial expressions with respect to previous solutions, previously assessing confidence for the proposed solutions. Therefore, the proposed system yields efficient classification rates comparable to the best previous facial expression classifiers. The ABT and CBR combination provides trusty solutions by evaluating the confidence of the solution quality for eyebrows, mouth and eyes. Consequently, this method is robust and accurate for facial motion coding, and for confident classifications. The training is progressive, the quality of the solution increases with respect to previous solutions and do not need re-training processes.
Categories
computer vision.
Scientific reference
F.J. Orozco, F.A. García, J.L. Arcos and J. Gonzàlez. Spatio-temporal reasoning for reliable facial expression interpretation, 5th International Conference on Computer Vision Systems, 2007, Bielefeld, Alemanya, pp. 1-10, Bielefeld University.
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