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Description: 从大量的正侧面脸部照片采集着手构建了正、侧面脸部信息的人脸库，依据人体测量学、人体解剖学等脸部关键特征的原则定义了脸部测量点及测量项目。基于建立的人脸数据库中测量点定义模型的正侧面特征点，采用径向基函数插值的方法对模型进行调整，生成特定人脸模型。-From the side of the face is a lot of photos to build a collection is started, the side face of the face database of information based on anthropometry, human anatomy, such as the face of the principle of the key features of the definition of the measurement points and facial measurements. Face-based database established in the definition of measurement points is the side of model feature points, the use of radial basis function interpolation method to adjust the model to generate a specific face model.
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Author: xiuguohao |
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Description: 三维人脸识别的经典文章，是三维人脸表情识别论文争相引用的经典文章-Using Biologically Inspired Features for Face Processing
In this paper, we show that a new set of visual
features, derived from a feed-forward model of the primate
visual object recognition pathway proposed by Riesenhuber
and Poggio (R&P Model) is capable of matching the performance of
some of the best current representations for face identification
and facial expression recognition
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Size: 384000 |
Author: 浪子 |
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Description: 为了更有效地提取图像的局部特征，提出了一种基于2维偏最小二乘法(two—dimensional partial least
square，2DPLS)的图像局部特征提取方法，并将其应用于面部表情识别中。该方法首先利用局部二元模式(1ocal
binary pattern，LBP)算子提取一幅图像中所有子块的纹理特征，并将其组合成局部纹理特征矩阵。由于样本图像
被转化为局部纹理特征矩阵，因此可将传统PLS方法推广为2DPLS方法，用来提取其中的判别信息。2DPLS方法
通过对类成员关系矩阵的构造进行相应的修改，使其适应样本的矩阵形式，并能体现出人脸局部信息重要性的差
异。同时，对于类成员关系协方差矩阵的奇异性问题，也推导出了其广义逆的解析解。基于JAFFE人脸表情库的
实验结果表明，该方法不但可以有效地提取图像局部特征，并能取得良好的表情识别效果。-To better the image of the local feature extraction, a partial least squares method based on 2D (two-dimensional partial least
square, 2DPLS) image local feature extraction method, and applied to facial expression recognition. In this method, use of local binary pattern (1ocal
binary pattern, LBP) operator extracts an image texture features of all sub-blocks, and their combination into the local texture feature matrix. As the sample image
Be translated into the local texture feature matrix, so the traditional PLS method can be generalized to 2DPLS method used to extract the identification information. 2DPLS method
Through the class membership matrix in the corresponding modifications to adapt the sample matrix, and can reflect the importance of face poor local information
Different. Meanwhile, members of the class covariance matrix of the singular relations issues, also derived the generalized inverse of the analytical solution. Based on the JAFFE facial expression database
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Author: MJ |
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Description: 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 of face recognition, face first select the important local features, local features of the obtained principal component analysis, and support vector machine (SVM) classifier design to determine the local characteristics of test expression image local features, while design of support vector machine (SVM) classifier expression, determine the expression of the image category.
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Author: 王二 |
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Description: 人脸特征提取LDA特征，Jonathan Huang大师编的降维。-Facial feature extraction LDA dimensionality reduction of features, master series.
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Size: 3072 |
Author: 万书婷 |
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Description: 即时通讯系统，功能类似QQ，包括表情等功能-Instant messaging system, functions similar to QQ, including facial expressions and other features
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Size: 244736 |
Author: Bennie |
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Description: 人脸表情识别代码，演示了识别过程中每个步骤，通过肤色变化提取人脸区域，寻找最大联通区域，人脸区域二值化，左眼、右眼嘴唇分割和边缘提前，最后通过三个特征进行表情识别。包含测试图片。-Facial expression recognition code demonstrates each step in the identification process, by the color change of extract facial area, looking for maximum Unicom area the face region binarized, segmentation and edge ahead of the left eye, right eye and lips, and finally by three The features of facial expression recognition. Includes test images.
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Author: huangzhong |
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Description: 首先利用人脸的色彩特征和自适应阈值法实现特征候选区域和人脸肤色区域的分离，然后利用人脸的几何特性将连通的特征候选
区域保留下来作为人脸特征区域。后续的特征提取可以在这些人脸特征区域中完成。一般的人脸特征提取方法都可以将该方法作为提高效
率的预处理操作。实验证明，该方法具有高效率、低计算量的特点，并且受人脸表情、图像角度和背景的影响较小。-First, the use of the color characteristics of the human face and adaptive thresholding feature candidate region and the skin color of the face area of separation, then the use of the geometric characteristics of the face to the connectivity features of candidate regions preserved as a facial feature region. Subsequent feature extraction can be completed in the area of these facial feature. General facial feature extraction methods the method as a pre-processing operations to improve efficiency. The experiments show that this method has the characteristics of high efficiency, low computational smaller, and the facial expression, the image angle and background.
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Author: 东方 |
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Description: 结合Gabor特征和adaboost的人脸表情识别方法-Gabor features and adaboost combination of facial expression recognition method
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Author: ivy |
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Description: This a Facial finder project based on the implementation of java. It has the features of the face recognition that is completely implemented using java.-This is a Facial finder project based on the implementation of java. It has the features of the face recognition that is completely implemented using java.
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Size: 9216 |
Author: raj |
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Description: A practical system for 3D facial animation should
have three features:
■■ Expression generation. It can accurately generate
realistic expressions for an arbitrary neutral face
given by coefficients.
■■ Expression retargeting or cloning. It can reproduce
an example 3D face’s expressions on any other
neutral face.
■■ Robustness. It can generate realistic facial expressions
robustly from noisy or even incomplete
3D faces.
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Size: 1031168 |
Author: HIYAM |
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Description: Three robust features extraction approaches for facial gender
classification
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Author: Nima |
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Description: This study proposes a novel near infrared face recognition algorithm based on a combination of both
local and global features. In this method local features are extracted from partitioned images by means
of undecimated discrete wavelet transform (UDWT) and global features are extracted from the whole
face image by means of Zernike moments (ZMs). Spectral regression discriminant analysis (SRDA) is then
used to reduce the dimension of features. In order to make full use of global and local features and
further improve the performance, a decision fusion technique is employed by using weighted sum rule.
Experiments conducted on CASIA NIR database and PolyU-NIRFD database indicate that the proposed
method has superior overall performance compared to some other methods in the presence of facial
expressions, eyeglasses, head rotation, image noise and misalignments. Moreover its computational time
is acceptable for on-line face recognition systems
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Size: 1038336 |
Author: abdou |
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Description: This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the requirements are specified. The FER system consists of 3 stages: face detection, feature extraction and expression recognition. Methods proposed in literature are reviewed for each stage of a system. Finally, the design and implementation of this system are explained. The face detection algorithm used in the system is based on Viola-Jones. The features are obtained using Gabor features. The MultiSupport Vector Machine is used for classification. The used for facial expression system is JAFFE Database-This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the requirements are specified. The FER system consists of 3 stages: face detection, feature extraction and expression recognition. Methods proposed in literature are reviewed for each stage of a system. Finally, the design and implementation of this system are explained. The face detection algorithm used in the system is based on Viola-Jones. The features are obtained using Gabor features. The MultiSupport Vector Machine is used for classification. The used for facial expression system is JAFFE Database
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Size: 177152 |
Author: Jashpreet |
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Description: This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the requirements are specified. The FER system consists of 3 stages: face detection, feature extraction and expression recognition. Methods proposed in literature are reviewed for each stage of a system. Finally, the design and implementation of this system are explained. The face detection algorithm used in the system is based on Viola-Jones. The features are obtained using Gabor features. The MultiSupport Vector Machine is used for classification. The used for facial expression system is JAFFE Database-This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the requirements are specified. The FER system consists of 3 stages: face detection, feature extraction and expression recognition. Methods proposed in literature are reviewed for each stage of a system. Finally, the design and implementation of this system are explained. The face detection algorithm used in the system is based on Viola-Jones. The features are obtained using Gabor features. The MultiSupport Vector Machine is used for classification. The used for facial expression system is JAFFE Database
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Size: 1664000 |
Author: Jashpreet |
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Description: Selection and Efficient Use of Local Features for Face and Facial Expression Recognition in
a Cortical Architecture.
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Author: alhmdany |
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Description: 运用HTML5语言编写的具有人脸面部识别的，虚拟现实功能。可在人脸中模拟出面具效果。-Using HTML5 language with human facial recognition, virtual reality features. You can simulate the effect of a face mask in.
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Size: 205824 |
Author: 福先森 |
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Description: 由一个3D变形人脸模型取自动生成适应的训练样本。由统计视角，tailored训练数据保证了所有的数据变化且由任意的人脸属性丰富训练样本，例如，年龄或体重。更进一步，它可能自动适应到环境约束，例如，来自于监控摄像机的照明或视角约束。我们使用裁剪的（tailor）图象训练一个新的Viola Jones的adaboost 目标检测框架的多核实现。这个新的实现不仅快速的，而且多特征通道的使用成为可能，例如，在训练期间的颜色特征。在我们实验中，我们训练7个依赖视角的人脸检测子并在Face Detection Data Set 和 Benchmark (FDDB)中评估它们。- takes a look
into the automated generation of adaptive training samples
a 3D morphable face model. Using statistical insights,
the tailored training data guarantees full data variability
and is enriched by arbitrary facial attributes such as age
or body weight. Moreover, it can automatically adapt to
environmental constraints, such as illumination or viewing
angle of recorded video footage surveillance cameras.
We use the tailored imagery to train a new many-core implementation of Viola Jones’ AdaBoost object detection framework. The new implementation is not only faster but also
enables the use of multiple feature channels such as color
features at training time.
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Author: 郭继东 |
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Description: 面部识别又称人脸识别、面像识别、面容识别等等，面部识别使用通用的摄像机作为识别信息获取装置。以非接触的方式获取识别对象的面部图像，计算机系统在获取图像后与数据库图像进行比对后完成识别过程。面部识别是基于生物特征的识别方式 ，与指纹识别等传统的识别方式相比，具有实时、准确、高精度、易于使用、稳定性高、难仿冒、性价比高和非侵扰等特性，较容易被用户接受。-Face recognition is also called face recognition, face recognition, facial recognition, etc., and face recognition uses a general-purpose camera as identification information acquisition means. The face image of the recognition object is acquired in a non-contact way, and the computer system completes the recognition process after acquiring the image and comparing it with the image. Facial recognition is based on the recognition of biological features. Compared with the traditional identification methods such as fingerprint recognition, facial recognition is easy to use, high accuracy, high stability, high cost performance and non-intrusive characteristics. User Acceptance.
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Author: zhuyipeng |
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Description: 主要特点如下: 1.留言必须通过审核才能显示,不通过审核.只显示留言者IP所在地. 2.增加IP搜索功能. 3.垃圾留言过虑功能. 4.头像,表情选择,模仿QQ菜单.(新功能) 5.模板漂亮,实用,适合公司单位网站,个人网站使用.-The main features are as follows: 1. Message must be approved to show, not through the audit. IP only shows the location of the message. 2. Increase IP search function. 3. Junk message feign function. 4. Avatar, facial expression selection, imitation QQ menu. New function) 5. The template is beautiful, is practical, suits the company unit website, the personal website use.
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Author: 巴巴 |
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