A Facial Expression Recognition System from Depth Video
نویسندگان
چکیده
In this work, a novel approach is proposed to recognize some facial expressions from time-sequential depth videos. Local Directional Pattern (LDP) features are extracted from the time-sequential depth faces that are followed by Linear Discriminant Analysis (LDA) to make the features more robust. Finally, the robust local features are applied with Hidden Markov Models (HMMs) for facial expressions successfully. The proposed approach shows superior recognition rate against the conventional approaches. Keywords—Depth Information, LDP; HMM; FER
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