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Facial Expression Recognition Using Spatiotemporal Boosted Discriminatory Classifiers
[chapter]
2010
Lecture Notes in Computer Science
This paper introduces a novel approach to facial expression recognition in video sequences. Low cost contour features are introduced to effectively describe the salient features of the face. Temporalboost is used to build classifiers which allow temporal information to be utilized for more robust recognition. Weak classifiers are formed by assembling edge fragments with chamfer scores. Detection is efficient as weak classifiers are evaluated using an efficient look up to a chamfer image. An
doi:10.1007/978-3-642-13772-3_41
fatcat:mjptxtpz6vcmtg6kglwgtsfmmy