Tạp chí Khoa học, S. 53 (2013)

Cỡ chữ:  Nhỏ  Vừa  Lớn

Facial expressions recognition based on joint shape-texture cues in video

Le Dinh Minh Duc, Nguyen Trung Dung, Ly Quoc Ngoc

Tóm tắt

This article proposed a facial expressions recognition system, which has a high recognition rate and can work in real-time, in frontal pose video. Our main contribution is that we present a new so-called ASL descriptor which is combined from three different basic features extraction method: AAM, SURF and LBP. Extensive experimental results demonstrate that our method achieve the performance higher than some state-of-art results on the Cohn-Kanade Database (CK).

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Tạp chí của Trường Đại học Sư phạm Thành phố Hồ Chí Minh ; ISSN: 1859 -3100