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使用OPENCV实现基于隐马尔科夫过程人脸表情识别,OPENCV use of hidden Markov process based on Facial Expression Recognition
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基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-Flexible template matching based on facial expression recognition procedures. First of all, the expression for the static image of the gray-sca
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一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法，先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression
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两篇很好的人脸识别论文，基于不同的方法实现，《基于嵌入式隐马尔可夫模型（EHMM）的人脸表情识别》《 基于DSP的人脸识别系统研究》-2 Face Recognition good thesis, based on different methods of implementation, " Based on Embedded Hidden Markov Model (EHMM) Facial Expression Recognition" " DSP-based Fa
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很好的关于人脸识别的毕业论文，从中国知网付费下载得到，《基于嵌入式隐马尔可夫模型（EHMM）的人脸表情识别 》希望对大家有用。-About Face Recognition of good theses, pay-per-download from the Chinese HowNet be, " Based on Embedded Hidden Markov Model (EHMM) Facial Expression Recognition" I hope useful t
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摘 要： 提出了一种基于改进 Ha u s d o r f f距离的人脸相似度匹配的方法， 该方法首先将人脸划分为脸型、 双眼、 鼻、 嘴等几个特征点
集， 分别计算各部分的改进 Ha u s d o r f f 距离， 然后进行加权计算相似度。利用该方法， 在 A S M( 主动形状模型) 定位人脸的基础上进
行了人脸检索。 实验表明， 利用人脸相似度计算方法对人脸特征库进行搜索， 达到 了较好的效果。同时结合 A S M 自动人脸检测， 本
方法可以全自动完成人脸匹配， 应
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基于高波滤波的特征提取技术，从而实现人脸识别和表情识别的目的-Based on high-wave filter feature extraction techniques, in order to achieve the purpose of face recognition and expression recognition
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：针对传统Gabor变换在提取表情特征时，冗余较大、特征维数较高的不足，结合ASM
自动特征定位技术，提出了一种基于特征点Gabor特征和ASM 形状特征相融合的面部表情
识别方法．实验表明，两种特征的融合，可有效地利用特征点的局部纹理信息和脸部器官的整
体形状信息，达到了更好的面部表情识另4效果．-: Gabor transform traditional expression feature extraction, the redundancy large feature dim
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提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
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supplies
cross-platform libraries for real-time perception primitives, including face detection,
eye detection, blink detection, color tracking. Soon it will also include expression
recognition, predictive color tracking, and tracking based on
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One of Biometrics fields is face recognition & face expression recognition ...
1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Tr
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In this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns. With the weights of the trained neural networks there are created kernel window
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aleix@ecn.
Semantic queries to a database of images are more
desirable than low-level feature queries, because they
facilitate the user s task. One such approach is the
object-related image retrieval. In the context of face
images, it is of
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facilitate the user s task. One such approach is the
object-related image retrieval. In the context of face
images, it is of interest to retrieve images based on
people s names and facial expressions. However, when
images of the database a
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aleix@ecn.
Semantic queries to a database of images are more
desirable than low-level feature queries, because they
facilitate the user s task. One such approach is the
object-related image retrieval. In the context of face
images, it is of
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aleix@ecn.
Semantic queries to a database of images are more
desirable than low-level feature queries, because they
facilitate the user s task. One such approach is the
object-related image retrieval. In the context of face
images, it is of
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一种基于弹性模板匹配的人脸表情识别程序源码。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后后运用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出一种基于弹性模板匹配及K 可直接使用。
-Facial expression recognition based on elastic template matching program source code. First the face image of the gray-scale images for static e
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这个是面部表情自动识别的源代码。它是基于Viola和Jones的面部检测算法和Gabor面部特征点的提取，然后使用训练过的神经网络来识别人脸表情。-This is the automatic recognition of facial expression source code. It is Viola and Jones face detection algorithms and Gabor facial feature point extraction, and then use the
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MATLAB编写的基于稀疏表达的人脸识别技术，内含一个简单便于理解的例子-MATLAB prepared based on face recognition technology sparse expression, there is a need to see! !
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人脸检测方法主要有基于知识的方法、特征不变方法、模板匹配方法、基于外观的方法；脸部特征定位方法分为基于先验知识、几何形状、色彩、外观和关联信息等五类；人脸表情识别方法分为基于几何特征的识别方法，基于整体的识别方法，基于模型的识别方法，基于模板的识别方法。-Face detection methods are mainly based on knowledge of the method, the characteristics of constant method, template match
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