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Facial expression recognition using Hough forest
2013
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
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.
doi:10.1109/apsipa.2013.6694152
dblp:conf/apsipa/HsuHH13
fatcat:ndul5ox2wncifh2qzuzja2wcoa