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2010

Recognition of Human Facial Expression in a Video Image using the Active Appearance Model

8 years 2 months ago
Recognition of Human Facial Expression in a Video Image using the Active Appearance Model
Tracking human facial expression within a video image has many useful applications, such as surveillance and teleconferencing, etc. Initially, the Active Appearance Model (AAM) was proposed for facial recognition; however, it turns out that the AAM has many advantages as regards continuous facial expression recognition. We have implemented a continuous facial expression recognition system using the AAM. In this study, we adopt an independent AAM using the Inverse Compositional Image Alignment method. The system was evaluated using the standard Cohn-Kanade facial expression database, the results of which show that it could have numerous potential applications. Keywords--Active Appearance Model, Facial Expression Recognition, Image Alignment Method
Gyeong-Sic Jo, Yong-Guk Kim
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JIPS
Authors Gyeong-Sic Jo, Yong-Guk Kim
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