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http://dx.doi.org/10.13067/JKIECS.2013.8.8.1201

Facial Feature Extraction using Multiple Active Appearance Model  

Park, Hyun-Jun (부산대학교 컴퓨터공학과학과)
Kim, Kwang-Baek (한국멀티미디어학회 국제운영부)
Cha, Eui-Young (부산대학교 컴퓨터공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.8, no.8, 2013 , pp. 1201-1206 More about this Journal
Abstract
Active Appearance Model(AAM) is one of the facial feature extraction techniques. In this paper, we propose the Multiple Active Appearance Model(MAAM). Proposed method uses two AAMs. Each AAM trains using different training parameters. It causes that each AAM has different strong points. One AAM complements the weak points in the other AAM. We performed the facial feature extraction on the 100 images to verify the performance of MAAM. Experiment results show that MAAM gives more accurate results than AAM with less fitting iteration.
Keywords
AAM; MAAM; Facial Feature Extraction; Facial Expression Recognition;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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