Human facial expression recognition is a very important but also difficult subject.
人脸表情识别是模式识别中一个非常重要却十分复杂的课题。
This paper proposes two high performance facial expression recognition methods.
文中提出了两种高效的人脸表情识别算法。
Then current facial expression recognition technologies are roughly introduced.
然后对近期人脸表情识别的方法进行了分类综述。
Now, there're many methods of facial expression recognition, but research on expression intensity measurement hasn't been developed.
目前已有多种面部表情识别方法，但是对表情强度的度量并没有充分展开。
A facial expression recognition system contains face detection, face feature extraction, feature selection and expression classification.
表情识别系统包括人脸检测、人脸特征提取、特征选择以及表情分类等几部分。
It makes a detailed introduction to expression pre-processing methods, and looks forward to the future of facial expression recognition research.
同时对表情处理的方法进行了介绍，展望了表情识别未来的研究重点。
The human-head portrait robot system H&F ROBOT-II with vision, facial expression recognition and representation functions was designed and developed.
本文设计并研制了具有视觉、表情识别与再现功能的仿人头像机器人H&FROBOT-II系统。
The key algorithms of facial expression recognition are studied in this paper and we focus our attention on the research of methods for feature extraction.
本文在研究表情识别关键算法的基础上，将重点放在特征提取方法的研究。
The algorithms of facial expression recognition system mainly contain images' preprocessing algorithms, feature extraction algorithms and classification algorithms.
人脸表情识别系统中的算法主要有图像处理算法、特征提取算法和分类算法。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
Facial expression recognition is an effective and realizable feature in them.
其中的人脸表情识别是一种有效且可行的特征。
Facial expression recognition is an active research area in pattern recognition.
人脸表情识别是模式识别领域中一个非常活跃的研究方向。
Facial expression recognition is an active research area in pattern recognition.
人脸表情识别是模式识别领域中一个非常活跃的研究方向。
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