文中提出了两种高效的人脸表情识别算法。
This paper proposes two high performance facial expression recognition methods.
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 effective and realizable feature in them.
面部表情识别受到身段表情与语音表情的影响。
Recognitions of facial expressions are influenced by body and voices.
身段表情识别受到面部表情与语音表情的影响；
Recognitions of body expressions are influenced by faces and voices;
然后对近期人脸表情识别的方法进行了分类综述。
Then current facial expression recognition technologies are roughly introduced.
从实验的角度验证了本文表情识别算法的有效性。
所以获得表情图像的纹理信息对表情识别是有帮助的。
The high frequency gained from wavelet transform can reflect the images' texture.
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.
面部表情； 表情识别； 表情再现；机器人头部机构；
Facial expression; Expression recognition; Expression representation; Robot head mechanism;
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。
Human facial expression recognition is a very important but also difficult subject.
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。
It makes a detailed introduction to expression pre-processing methods, and looks forward to the future of facial expression recognition research.
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。
This study discusses, mainly through the means of behavior experiment, the influence of the facial arrangements on the recognition of partial-face expression.
重点按照不同的特征提取和分类器设计方法对表情识别技术进行了综述。
Then current recognition technologies are roughly introduced and classified according to different method of feature extraction and classifier design.
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 key algorithms of facial expression recognition are studied in this paper and we focus our attention on the research of methods for feature extraction.
目的：了解低视力患者视功能与表情识别的相关关系，指导患者进行视力康复。
Objective: to know the correlation between visual function and face recognition and then to direct the visual rehabilitation for low vision subjects.
本文以人脸表情识别方法为主题，研究了用于笑脸识别与多类表情识别的关键算法。
Following this topic, we research the key Algorithms for smile recognition and multi-Expression recognition in this paper.
《公共科学图书馆》刊发了一项研究，认为催眠是真实存在的，能从呆滞的表情识别出。
A study published in the journal PLoS ONE suggests that hypnosis is real, and can be identified by a glazed expression.
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 extracting of facial feature and the facial expression state represented by all kinds of facial feature are important steps in facial expression recognition.
本文的目的就是要寻求更适合于人脸表情识别且实现相对简单的特征提取算法来提高识别率。
The purpose of the paper is to research and improve feature extraction algorithms to improve the correct recognition rate.
它可广泛应用于人脸跟踪、人脸识别、姿态识别、表情识别、头部像压缩及重构、脸部动画等领域。
It finds applications in various areas, such as face detection, face recognition, gesture recognition, expression recognition, face image compression and reconstruction, and face cartoon.
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 human-head portrait robot system H&F ROBOT-II with vision, facial expression recognition and representation functions was designed and developed.
目前表情识别已经成为模式识别和机器视觉研究领域的一个活跃分支，越来越多的研究者开始关注这个领域。
Nowadays, expression recognition has become an active topic in pattern recognition and machine vision community. More and more researchers have focused on this domain.
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。
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.
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。
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.
一台与面部表情识别软件相连的摄影机给机器人反馈信号：当机器人做出一个类似于“现实的”表情时，摄影机就会收到动作信号。
A video camera connected to facial recognition software gave the robot feedback: When it made a movement that resembled a "real" expression, it received a reward signal.
摘要：针对传统智能网络教学系统中存在情感缺失的问题，探索性地设计并提出了一种基于人脸表情识别的智能网络教学系统模型。
Absrtact: To overcome the deficiency of emotion absence in traditional network education system, an intelligent network teaching system model based on facial expressing recognition is proposed.
作为进化论的创始人，达尔文认为对面部表情的普遍识别具有攸关存亡的价值。
As the originator of the theory of evolution, Darwin believed that the universal recognition of facial expressions would have survival value.
目前，还不清楚为什么狗似乎具备识别人类不同面部表情的能力。
At this point, it is not clear why dogs seem to be equipped with the ability to recognize different facial expressions in humans.
目前，还不清楚为什么狗似乎具备识别人类不同面部表情的能力。
At this point, it is not clear why dogs seem to be equipped with the ability to recognize different facial expressions in humans.
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