文章基本信息

标题：A Comprehensive Survey on Human Facial Expression Detection
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作者：Mr. Archana Verma ; Mr. Lokesh Kumar Sharma
期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2013
卷号：7
期号：2
页码：171-182
出版社：Computer Science Journals
摘要：In the recent years recognition of Human's Facial Expression has been very active research area in computer vision. There have been several advances in the past few years in terms of face detection and tracking, feature extraction mechanisms and the techniques used for expression classification. This paper surveys some of the published work since 2001. The paper gives a time-line view of the advances made in this field, the applications of automatic face expression recognizers, the characteristics of an ideal system, the databases that have been used and the advances made in terms of their standardization and a detailed summary of the state of the art. The paper also discusses facial parameterization using FACS Action Units (AUs) and advances in face detection, tracking and feature extraction methods. It has the important role in the humancomputer interaction (HCI) systems. There are multiple methods devised for facial feature extraction which helps in identifying face and facial expressions.
关键词：Facial Expression; FACS; Fuzzy Inference System; Feature Extraction; HCI.