Automatic facial expression analysis: a survey
Automatic facial expression analysis: a survey
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DOI：
10.1016/s0031-3203(02)00052-3
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发表时间：
2003-01-01
影响因子：
8
通讯作者：
Luettin, J
中科院分区：
文献类型：
--
作者：
Fasel, B;Luettin, J
在过去的十年中，自动面部表情分析已经成为一个活跃的研究领域，在更吸引人的人机界面，说话的头，图像检索和人类情感分析等领域找到了潜在的应用。面部表情不仅反映情绪，还反映其他心理活动、社会互动和生理信号。在这项调查中，我们介绍了最突出的自动面部表情分析方法和系统在文献中提出。人脸运动和变形的提取方法以及分类方法进行了讨论方面的问题，如人脸归一化，面部表情动态和面部表情强度，但也与他们对环境变化的鲁棒性。(C)2002模式识别学会。由Elsevier Science Ltd.出版，版权所有。
Over the last decade, automatic facial expression analysis has become an active research area that finds potential applications in areas such as more engaging human-computer interfaces, talking heads, image retrieval and human emotion analysis. Facial expressions reflect not only emotions, but other mental activities, social interaction and physiological signals. In this survey, we introduce the most prominent automatic facial expression analysis methods and systems presented in the literature. Facial motion and deformation extraction approaches as well as classification methods are discussed with respect to issues such as face normalization, facial expression dynamics and facial expression intensity, but also with regard to their robustness towards environmental changes. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.