Analysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model

نویسندگان
Aghagolzadeh, A. ID 1
Kabir, E. ID 2
Seyedarabi, H. ID 3
Khanmohammadi, S. ID 4

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چکیده

Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature ...

کلیدواژه‌ها
Facial feature points, Probabilistic Neural Network, Deformable face model, Facial animation.