Title :
Facial expression recognition using Hough forest
Author :
Chi-Ting Hsu ; Shih-Chung Hsu ; Chung-Lin Huang
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan
fDate :
Oct. 29 2013-Nov. 1 2013
Abstract :
This paper introduces a new facial expression recognition system. Facial expressions analysis encounters two major problems: non-rigid morphing (human facial expression are non-rigid and shape deformation) and person-specific appearance (the facial action features are people-dependent). Our facial expression system analyzes the non-rigid morphing facial expressions and eliminates the person-specific effects through patch features extracted from facial motion due to different facial expressions. Finally, classification and localization of the center of the facial expression in the video sequences are performed by using a Hough forest.
Keywords :
emotion recognition; face recognition; feature extraction; image classification; image motion analysis; image sequences; trees (mathematics); video signal processing; Hough forest; facial action feature; facial expression analysis; facial expression center classification; facial expression localization classification; facial expression recognition system; facial motion; nonrigid morphing; patch feature extraction; person-specific appearance; person-specific effect elimination; shape deformation; video sequences; Face; Face recognition; Feature extraction; Three-dimensional displays; Training; Uncertainty; Vegetation;
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
DOI :
10.1109/APSIPA.2013.6694152