0


面部表情识别和言语情感识别

Facial expression recognition and emotion recognition from speech
课程网址: http://videolectures.net/mlss06tw_datcu_ferer/  
主讲教师: Dragos Datcu
开课单位: 代尔夫特理工大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
该演示文稿解决了基于视频和音频数据分析识别情绪的问题。 全自动面部表情识别系统基于三个部分:面部检测,面部特征点提取和分类。 通过增强简单的矩形Haar样特征来进行面部检测,这些特征可以提供良好的面部表现。 这些特征还允许区分面部和非面部。 增强算法与进化搜索相结合,以加快整体搜索时间。 从检测到的面部提取面部特征点(FCP)。 为此目的使用在面部上应用的相同技术。 另外,还考虑了使用角点检测方法和亮度分布的FCP提取。 最后,在检索所需的FCP之后,可以确定面部表情的情绪。
课程简介: The presentation tackles the problem of recognizing the emotions based on video and audio data analysis. A fully automatic facial expression recognition system is based on three components: face detection, facial characteristic point extraction and classification. Face detection is employed by boosting simple rectangle Haar-like features that give a decent representation of the face. These features also allow the differentiation between a face and a non-face. The boosting algorithm is combined with an Evolutionary Search to speed up the overall search time. Facial characteristic points (FCP) are extracted from the detected faces. The same technique applied on faces is utilized for this purpose. Additionally, FCP extraction using corner detection methods and brightness distribution has also been considered. Finally, after retrieving the required FCPs the emotion of the facial expression can be determined.
关 键 词: 音频数据分析; 情绪问题; 全自动面部表情识别系统
课程来源: 视频讲座网
最后编审: 2019-07-16:cjy
阅读次数: 107