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Description: 本程序是基于小波变换提取人脸特征，再利用神经网络来进行人脸识别的源码-this program is based on the wavelet transform to extract facial features, and then use neural networks for face recognition FOSS
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Size: 96256 |
Author: 邓志国 |
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Description: 进行人脸检测的代码,主要可以实现人脸特征及肤色检测-for face detection code can be achieved major facial features and skin detection
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Size: 3036160 |
Author: 萧枫 |
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Description: 利用快速傅立叶变换实现了人脸表情图像的Gabor变换的快速算法
针对不同尺度的Gabor小波特征采用不同的下采样因子来对Gabor变换特征进行第一次降维
利用一种改进的核鉴别分析方法对Gabor特征进行二次特征提取-using fast Fourier transform of Facial Expression Gabor transform the image of the fast algorithm for different foot the Gabor wavelet characteristics under different sampling factor to the Gabor transform features the first drop Shalikashvili Improved use of nuclear discriminant analysis method Gabor features second feature extraction
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Size: 32768 |
Author: zouchanjie |
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Description: 我们辅助几何的一次作业.本实验通过点击载入菜单下的载入OBJ来读取数据文件，保存OBJ可以保存你所操作细分的数据。点击菜单显示类型可以实现显示顶点、显示边界、显示面三个功能。点击细分菜单下的Doo-sabin来实现细分-We assisted a geometric operation. This experiment by clicking the loading menu loading OBJ to read the data file, save OBJ operation can save you a breakdown of the data. Click on the menu shows the type of display can be achieved peak, indicating the border, showing the three facial features. Click on the menu under subdivision Doo-sabin to achieve a breakdown
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Size: 4498432 |
Author: zhao |
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Description:
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Size: 1081344 |
Author: 风之子 |
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Description: 这是一份基于人工神经网络的人脸训练源码。可以用于训练识别表情，定位人脸以及五官。并且里面还有一个图形库的包-This is an artificial neural network-based face training source. Can be used for training to identify facial expressions, positioning Face and facial features. And inside there is a graphics library package
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Size: 621568 |
Author: bbplayer |
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Description: 基于ASP.NET语言设计的一个个人网站,
麻雀随小，五官具全！
希望对你有帮助！-ASP.NET-based language designed a personal website, sparrows with small facial features of the whole! I hope for your help!
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Size: 847872 |
Author: sdf |
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Description: 人脸识别五官定位,光线补偿,去除人脸其它部分,画出五官-Face Recognition features positioning, light compensation, removal of other parts of face, painted facial features
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Size: 3409920 |
Author: 颜瑞 |
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Description: FaceRec 简单易懂的神经网络面部特征识别例子 [VB源码]-FaceRec simple neural network to identify examples of facial features [VB code]
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Size: 506880 |
Author: 晨 |
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Description: Document showing how to determine facial features and the exact face contour
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Size: 390144 |
Author: jos84 |
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Description: Automatic Face and Facial Features Detection
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Size: 557056 |
Author: Inchara |
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Description: 针对五官识别的算法，能够自动识别五官的位置和形状-Facial features for recognition algorithm, can automatically identify the location and shape of facial features
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Size: 274432 |
Author: qin |
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Description: 基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由
于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份
验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征，
它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来
越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科
的研究热点。-Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects.
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Size: 37888 |
Author: 付采 |
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Description: workshop of active shape model ppt
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Size: 292864 |
Author: eman |
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Description: 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-scale face image, size, normalized, and then extracted using Gabor wavelet transform features of human facial expression to expression of elastic graph structure, and finally based on flexible template matching and the K-neighbors classification algorithm Facial Expression identification.
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Size: 763904 |
Author: hejian |
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Description: 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks.
This paper presents the algorithms for all types of face images in the presence of several image conditions. There are two main stages. In
the first stage, the faces are detected from an original image by using Canny edge detection and our proposed average face templates.
Second, a proposed neural visual model (NVM) is used to recognize all possibilities of facial feature positions. Input parameters are
obtained from the positions of facial features and the face characteristics that are low sensitive to intensity change. Finally, to improve
the results, image dilation is applied for removing some irrelevant regions. Additionally, the algorithms can be extended to rotational
invariance problem by using Radon tran
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Size: 3771392 |
Author: 刘宋 |
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Description: Deaf people use facial expressions a non-manual channel for conveying grammatical information in sign language. Tracking facial features using the Kanade - Lucas - Tomasi (KLT) algorithm is a simple and effective method toward recognizing these facial expressions, which are performed simultaneously with head motions and hand signs. To make the tracker robust under these conditions, a Bayesian framework was developed as a feedback mechanism to the KLT tracker. This mechanism relies on a set of face shape subspaces learned by Probabilistic Principal Component Analysis. An update scheme was utilized to modify these subspaces and adapt to persons with different face shapes. The result shows that the proposed system can track facial features with large head motions, substantial facial deformations, and temporary face occlusions by hand.-Deaf people use facial expressions as a non-manual channel for conveying grammatical information in sign language. Tracking facial features using the Kanade- Lucas- Tomasi (KLT) algorithm is a simple and effective method toward recognizing these facial expressions, which are performed simultaneously with head motions and hand signs. To make the tracker robust under these conditions, a Bayesian framework was developed as a feedback mechanism to the KLT tracker. This mechanism relies on a set of face shape subspaces learned by Probabilistic Principal Component Analysis. An update scheme was utilized to modify these subspaces and adapt to persons with different face shapes. The result shows that the proposed system can track facial features with large head motions, substantial facial deformations, and temporary face occlusions by hand.
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Size: 189440 |
Author: Ng Jack |
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Description: describe kpca in detail
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Size: 68608 |
Author: yuweifeng |
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Description: 针对人脸检测问题中快速性与准确性难以同时满足的情况，提出了一种将肤色和脸部特征相结
合的方法来检测人脸。由于通过基于肤色的算法能快速定位出人脸大致位置，因而检测速度能达
到实时的要求；同时利用脸部特征进一步细检，可保证检测的精确性。-Abstract：This paper proposes a human face detection algorithm based on skin color and facial features to meet
the demand for fast and accurate detection．Skin color jS used for coarse location and facial features are used for
fine face detection．Th e algorithm gains certain detection rate and can be used in real time applications in further
work
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Size: 236544 |
Author: 费富里 |
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Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.
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Size: 25600 |
Author: mhm |
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