Recognizing Facial Expressions Automatically from Video
Recognizing Facial Expressions Automatically from Video
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DOI：
10.1007/978-0-387-93808-0_18
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Caifeng Shan;Ralph A. C. Braspenning
中科院分区：
文献类型：
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作者：
Caifeng Shan;Ralph A. C. Braspenning
面部表情是由于面部肌肉的运动而产生的，是由于一个人的内在情绪状态、意图或社会交流而引起的面部变化。关于面部表情的研究有相当长的历史。达尔文是第一个详细描述动物和人类与情绪相关的特定面部表情的人，他认为所有哺乳动物都能通过面部可靠地表达情绪。从那以后，面部表情分析一直是行为科学家非常感兴趣的研究领域。心理学研究[48,3]表明，面部表情作为非语言交际的主要方式，在人类面对面交流中起着至关重要的作用。为了说明，我们在图1中展示了一些面部表情的例子。
Facial expressions, resulting from movements of the facial muscles, are the face changes in response to a person’s internal emotional states, intentions, or social communications. There is a considerable history associated with the study on facial expressions. Darwin [22] was the first to describe in details the specific facial expressions associated with emotions in animals and humans, who argued that all mammals show emotions reliably in their faces. Since that, facial expression analysis has been a area of great research interest for behavioral scientists [27]. Psychological studies [48, 3] suggest that facial expressions, as the main mode for nonverbal communication, play a vital role in human face-to-face communication. For illustration, we show some examples of facial expressions in Fig. 1.