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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Hough Forest-Based Facial Expression Recognition from Video Sequences
verfasst von : Gabriele Fanelli, Angela Yao, Pierre-Luc Noel, Juergen Gall, Luc Van Gool
Erschienen in: Trends and Topics in Computer Vision
Verlag: Springer Berlin Heidelberg
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Automatic recognition of facial expression is a necessary step toward the design of more natural human-computer interaction systems. This work presents a user-independent approach for the recognition of facial expressions from image sequences. The faces are normalized in scale and rotation based on the eye centers’ locations into tracks from which we extract features representing shape and motion. Classification and localization of the center of the expression in the video sequences are performed using a Hough transform voting method based on randomized forests. We tested our approach on two publicly available databases and achieved encouraging results comparable to the state of the art.