@inproceedings{b526b967477a4d71ab333a609c174882,
title = "Real-time facial expression recognition system based-on geometric features",
abstract = "This paper presents a real-time facial expression recognition system based on geometric features. The geometric feature extraction is based on a hybrid method. This method first uses ASM to track the fiducial points coarsely and then applies a method based on threshold segmentation and deformable model to correct the mouth fiducial points due to the incorrect locations in the presence of non-linear image variations such as those caused by large facial expression changes. The geometric features extracted from the fiducial points are classified in one of the seven basic expressions by SVM classifier. The experiment shows the recognition speed can achieve about 12 fps.",
keywords = "Active shape model, Facial expression recognition, Geometric feature extraction, Lip tracking",
author = "Qiqiang Zhou and Xiangzhou Wang",
year = "2013",
doi = "10.1007/978-3-642-34531-9_47",
language = "English",
isbn = "9783642345302",
series = "Lecture Notes in Electrical Engineering",
pages = "449--456",
booktitle = "Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Software Engineering and Digital Media Technology",
note = "2012 International Conference on Information Technology and Software Engineering, ITSE 2012 ; Conference date: 08-12-2012 Through 10-12-2012",
}