제목 An AAM-based Face Shape Classification Method Used for Facial Expression
저자명

Luning. Li, Jaehyun So, Hyun-Chool Shin, and Youngjoon Han
 

초   록

 

 Facial expressoing recognition is a key element in human-computer communication. Howerver, some noises such as identity, gender and face shape may seriously have an effect on multi-person's experssion recognition. In this paper, an AAM-based method is proposed to remove face shape noise for ths purpose of improving facial expression recognition performance.Firstly, Active Appearance Modal(AAM)is used to extract the facial feature, which includes abundant face geometry information in the form of shape parameters. Subsequently, based on the shape parameters of AAM, an SVM-based classification method is proposed to classify the main face shape-melon seed, round and square.Finally, a proposal for facial expression recognition using face shape classification is given, which can improve the recognition rate.

Key Words Active Appearance Model, facial expression recognition, face shape, SVM
원문 수록처

2nd international conference on Trends in Electrical, Electronics and Power Engineering(ICTEEP'2013)

, pp31~35

자료유형 International journal