Automatic recognition of facial expressions in image sequences: A review. Patil, R., A., Sahula, V., & Mandal, A., S. In 2010 5th International Conference on Industrial and Information Systems (ICIIS), pages 408-413, 7, 2010. IEEE. Paper Website doi abstract bibtex For human beings, facial expression is one of the most powerful and natural way to communicate their emotions and intensions. A human being can detect facial expressions without effort, but for a machine it is very difficult. Automatic facial expression recognition is an interesting and challenging problem. Automatic facial expression recognition systems can be mainly used for human computer interaction and data driven animation. There are three sub problems while designing automatic facial expression recognition system, face detection, extraction of the facial expression information, and classification of the expression. A system that performs these operations more accurately and in real time would be crucial to achieve a human-like interaction between man and machine. This paper reviews the past work done in solving these problems for image sequences.
@inproceedings{
title = {Automatic recognition of facial expressions in image sequences: A review},
type = {inproceedings},
year = {2010},
keywords = {Face,Face recognition,Facial features,Feature extraction,Glass,Humans,Image sequences,automatic recognition,computer vision,data driven animation,expression. classification,face detection,face recognition,facial expression information,facial expression recognition,human computer interaction,image sequences},
pages = {408-413},
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month = {7},
publisher = {IEEE},
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created = {2016-05-10T02:54:44.000Z},
accessed = {2015-12-08},
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last_modified = {2017-03-14T01:22:09.162Z},
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abstract = {For human beings, facial expression is one of the most powerful and natural way to communicate their emotions and intensions. A human being can detect facial expressions without effort, but for a machine it is very difficult. Automatic facial expression recognition is an interesting and challenging problem. Automatic facial expression recognition systems can be mainly used for human computer interaction and data driven animation. There are three sub problems while designing automatic facial expression recognition system, face detection, extraction of the facial expression information, and classification of the expression. A system that performs these operations more accurately and in real time would be crucial to achieve a human-like interaction between man and machine. This paper reviews the past work done in solving these problems for image sequences.},
bibtype = {inproceedings},
author = {Patil, R.A. A and Sahula, Vineet and Mandal, A.S. S.},
doi = {10.1109/ICIINFS.2010.5578670},
booktitle = {2010 5th International Conference on Industrial and Information Systems (ICIIS)}
}
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