Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16114
Title: An evolutive approach for smile recognition in video sequences
Authors: Freire-Obregón, David 
Castrillón-Santana, Modesto 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Facial expression
Smile detection
LBP
PCA
SVM
Issue Date: 2015
Journal: International Journal of Pattern Recognition and Artificial Intelligence 
Abstract: Facial expression recognition is one of the most challenging research areas in the image recognition ¯eld and has been actively studied since the 70''s. For instance, smile recognition has been studied due to the fact that it is considered an important facial expression in human communication, it is therefore likely useful for human–machine interaction. Moreover, if a smile can be detected and also its intensity estimated, it will raise the possibility of new applications in the future
We are talking about quantifying the emotion at low computation cost and high accuracy. For this aim, we have used a new support vector machine (SVM)-based approach that integrates a weighted combination of local binary patterns (LBPs)-and principal component analysis (PCA)-based approaches. Furthermore, we construct this smile detector considering the evolution of the emotion along its natural life cycle. As a consequence, we achieved both low computation cost and high performance with video sequences.
URI: http://hdl.handle.net/10553/16114
ISSN: 0218-0014
DOI: 10.1142/S0218001415500068
Source: International Journal of Pattern Recognition and Artificial Intelligence[ISSN 0218-0014],v. 29 (1550006)
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