Extension of cascaded simple feature based face detection to facial expression recognition

Authors:
Do Hyoung Kim;Sung Uk Jung;Myung Jin Chung
Affiliations:
Mobile Communication Division, Samsung Electronics Co., 416 Maetan-3dong, Yeongtong-gu, Suwon 443-742, Republic of Korea;Information Security Research Division, Electronics and Telecommunications Research Institute, 161 Gajeong-dong, Yuseong-gu, Daejeon 305-700, Republic of Korea;Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea
Venue:
Pattern Recognition Letters
Year:
2008

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Abstract

In this paper, we extend cascaded rectangle features based face detection to facial expression. New types of rectangle features that are suitable for facial expression recognition (FER) are proposed. We choose those as rectangle features for FER in a 3x3 matrix form, using a variant of AdaBoost. In addition, the FER system constituted with the proposed rectangle feature set is compared to that with a typical rectangle feature set with regard to its capacity. Simulation and experimental results indicate that the proposed features show better representation and classification in FER.