In this paper, Facial Expression Recognition of the four main areas were carried out research work.
本文在人脸表情识别的四个主要环节上均进行了研究工作。
Therefore the automatic recognition technology of facial expression has received the researchers' extensive concern.
人脸表情自动识别技术因而受到了研究者们的广泛关注。
Objective: To study the characteristics of executive function and its possible mechanism by Wisconsin card sorting test (WCST) and recognition of dynamic facial expression in patients with depression.
目的：通过威斯康星卡片分类测试(WCST)及动态面部表情识别任务，探讨抑郁症执行功能障碍特征及可能机制。
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。
Objective:To explore neural correlates for the explicit recognition of dynamic facial expression in male major depressed patients using event-related functional magnetic resonance imaging.
目的：抑郁症患者存在负性认知模式，本研究旨在探讨男性抑郁症患者识别动态面部表情情绪偏向性的神经基础。
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。
This study discusses, mainly through the means of behavior experiment, the influence of the facial arrangements on the recognition of partial-face expression.
本研究主要采用行为实验探讨面孔呈现顺序对局部表情识别产生的影响。
As an important part of the technology for human-machine interface, facial expression recognition have drawn much attention recently.
人脸表情识别作为智能化人机交互技术中的一个重要组成部分，近年来得到了广泛关注。
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 extracting of facial feature and the facial expression state represented by all kinds of facial feature are important steps in facial expression recognition.
脸部特征的提取和各种特征所代表的表情状态是识别是脸部表情识别过程中的重要步骤。
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。
However, because of the complex facial structure, the diverse facial expression and the changing light intensity, face recognition is still being recognized as a challenging research.
但人脸图像中表情、姿态、光照度等内外在因素皆多变，使得该研究至今仍颇具挑战性。
However, because of the complex facial structure, the diverse facial expression and the changing light intensity, face recognition is still being recognized as a challenging research.
但人脸图像中表情、姿态、光照度等内外在因素皆多变，使得该研究至今仍颇具挑战性。
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