基于照片的人脸特征点提取。
文中提出一种跟踪人脸特征点的方法。
The extraction of face features is an important part in the process of face automatic recognition.
后续的特征提取可以在这些人脸特征区域中完成。
Then each connect candidate feature region is verified by face geometry features.
人脸特征识别的过程主要分为人脸检测定位和人脸识别。
The paper describes algorithms about face detection and face recognition as many as possible.
如何有效地从人脸图片中提取人脸特征一直是一个难题。
It is still a difficult problem to extract features from face images efficiently.
人脸特征的自动提取是人脸自动识别过程中至关重要的一个环节。
The extraction of face features is an important part in the process of face automatic recognition.
本论文主要研究DTCWT在纹理合成和人脸特征检测方面的应用。
This thesis mainly focuses on the application of DTCWT on texture synthesis and facial feature detection.
人脸轮廓提取是人脸特征检测和人脸识别等人脸图像分析的重要前提。
Face contour extraction is a significant precondition of facial image analysis such as facial features detection and face recognition.
之前，这种人脸特征被认为是为了适应那些难以咀嚼的食物，比如坚果。
The characteristics were previously thought to be adaptations for a diet of hard-to-chew foods, such as nuts.
由于能够快速获得较准确的初始位置，进而取得较好的人脸特征标定结果。
This method can find the exact initial position and achieve better result of facial feature point localization.
这一方法灵活廉价，在海量人脸特征数据库中应用将显著提高系统响应速度。
This method is cheap and scalable, and it will obviously shorten the system response time when applied in huge-amount facial feature databases.
在人脸特征数据库容量较大的情况下，如何提高人脸特征匹配速度至关重要。
It is of key importance to improve the speed of facial feature match if the feature database has a large volume.
“我们发现，东方人和西方人在不同的人脸特征看阅读面部表情，”杰克说。
"We show that Easterners and Westerners look at different face features to read facial expressions," Jack said.
基于人脸特征的精确位置，人脸的几何信息等被用来精确验证真实人脸的存在。
Based on the positions of eyes, the other facial features are located and then the geometrical information of all facial features is used to further verify human face.
在研究了人脸的颅骨、肌肉组织特点的基础上，给出了人脸特征点的定义及选取规则。
On the research of human cranium and head muscle, the definition of the facial feature points is given.
为了得到源视频的脸部运动运动数据，人脸特征检测和人脸特征跟踪是两个先决条件。
In order to obtain the facial motion data from the source video, we must first carry out the detection and tracking of facial feature.
AAM人脸特征点定位模块是关键模块，其定位结果直接影响人脸表情动画合成效果。
AAM facial feature points positioning module is the master key for its orientation result directly influence the synthetic effect of the facial expression animation.
分别提取语音特征和人脸特征作为识别的依据，并用神经网络在特征层上进行融合识别。
The paper presents an intelligent recognition system of multicharacter fusion, which is acoustic and face based on artificial neural network.
先提出一种人脸识别的算法，然后通过实验数据分析，得出这种算法更能有效提取人脸特征。
At first we propose a new algorithm for face recognition. And then, we can find the advantage of using this approach in facial feature extraction through the analysis of related experiment results.
人脸特征点的定位在人脸识别、人脸表情分析以及卡通人脸生成等方面具有非常重要的作用。
Facial feature points localization takes an important role in the face recognition, facial expression analysis, cartoon face synthesis, etc.
本发明为远距离身份识别提出新的解决思路，采用人脸特征辅助步态特征在决策级融合方法。
The method proposes a new solution concept for long-distance identity recognition and adopts the decision-making level fusion method which USES the human face features to assist the gait features.
对人脸图像检测与识别技术的研究现状进行简要论述，并自行设计一个人脸特征自动提取系统。
This paper examines the research situation on face image detection and recognition and designs a facial feature automatic extract system.
嘴唇是人脸特征的重要组成部分，在音视频识别、认证、嘴唇同步、人脸识别等方面都很重要。
Lip is one of the most important facial features, and plays key roles in a variety of fields such as audio-visual speech, authentication, lip synchronization, face recognition, etc.
在人脸特征区域判决中引入菱形搜索，与贝叶斯判决相结合，以提高人脸特征区域的检测速度。
To speed up the facial feature detection, a diamond search algorithm is introduced in the Bayesian classifier.
基于小波分解提取人脸特征技术和多分类支持向量机模型，提出了一种新的准正面人脸识别算法。
This paper presents a novel algorithm for quasi-frontal face recognition based on the wavelet decomposition technique and a multi-class Support Vector Machine (SVM) model.
然而，用现有的人脸特征点定位算法进行人脸形状估计时，嘴巴区域特征点的定位误差相对较大。
However, when estimating facial shapes using current facial landmarks detecting methods, the locating error of feature points around the mouth region is relatively large.
针对人脸特征点局部特征描述问题，提出了局部灰度特征与纹理特征相结合的局部特征描述方法。
An improved method is introduced to describe the local property which combining the local gray property with the local texture property.
针对支持向量机学习是一种有导师的学习，引入了否定算法，把人脸特征否定的结果来供支持向量机学习。
Because the learning support vector machine is an instructing learning, a negative algorithm is introduced. The negative result of facial feature is provided for the support vector machine learning.
本文首先介绍了AAM人脸特征点定位的基本原理，然后针对传统AAM算法存在的不足进行了一些改进。
This paper first introduced the AAM theory, and then made some improvement based on the shortcomings of the traditional AAM algorithm.
系统主要可分为三大模块：AAM人脸特征点定位模块、FAP转换模块、MPEG-4模型动画实现模块。
System mainly divided into three modules:AAM facial feature points positioning module, FAP conversion module, and MPEG-4 model animation module.
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