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Description: 人脸的检测与定位(在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contrast between local and from the threshold value of two methods to improve the effectiveness of the pretreatment. Image segmentation, to achieve the classic division algorithm, and the use of group Algorithm the division results. in the face matching, based on the realization of the eyes and mouth of the geometric model matching, as well as evaluation of the structure function were studied.)
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Size: 10977526 |
Author: wfw |
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Description: 面部特征定位，主要是眼睛、鼻子和嘴巴的特征定位。-positioning facial features, mainly the eyes, nose and mouth features positioning.
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Size: 2174141 |
Author: 王城 |
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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: 96132 |
Author: 邓志国 |
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Description: 本文对几何模型匹配方法进行了研究，提出了一套完整的人脸定位算法。在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究-geometric model of this matching method for the study and submit a complete set of facial positioning algorithm. In preprocessing, using a special facial features enhanced facial skin and the contrast between the methodology and obtain local threshold value of the two methods, improved the pretreatment results. Image segmentation, the realization of the classical division algorithm, and the use of group division algorithm improved results. Face in the match, based on the realization of the eyes and mouth of the geometric model matching and evaluation function of the tectonic study
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Size: 1021032 |
Author: 苗夏菁 |
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Description: 在本设计中源于将图像看作随机场的实例,同时从信号处理的观点出发，对图像进行统计描述。通过K-L变换降低人脸特征的维数，提取人脸图像的代数特征，并排序。这样，利用代数特征的比较，可从人脸库中识别一幅人脸。-in the design of the images from the airport as with the examples, from the viewpoint of signal processing, right image descriptive statistics. Through K-L transform facial features to reduce the dimension, extracting facial image algebraic characteristics, and sorting. Thus, the use of algebra, from the human face an identifiable face.
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Size: 15864 |
Author: hhh |
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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: 958314 |
Author: 萧枫 |
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Description: 游戏随机创建迷宫,并给用户提供交互,自我感觉不错,只是有些函数过于冗长,随机生成算法过于累坠,不过是一五官俱全的游戏,(mazeMain.c是主要文件,编译时请将Compiler的Model改为Huge<TC2>)-randomly create a maze game, and to give users interactive, self-satisfied, but some functions are too lengthy, random generation algorithm too tired sinkers, but is a complete facial features of the game, (mazeMain.c is the main document, compiled with the Model Compiler please read Hugelt; TC2gt ;)
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Size: 93813 |
Author: 文曦畅 |
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Description: 人脸特征定位，实现人脸相似度计算，二值化，边缘提取。解压密码：123-positioning facial features, facial similarity to achieve, the two values, edge extraction. Extracting Password : 123
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Size: 61553 |
Author: 周昀 |
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Description: 一个经典的人脸识别算法实例,提供人脸五官定位具体算法及两种实现流程.-a classic example of face recognition algorithm, providing facial features specific positioning algorithm and the two implementation process.
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Size: 3620663 |
Author: 周广新 |
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Description: 游戏随机创建迷宫,并给用户提供交互,自我感觉不错,只是有些函数过于冗长,随机生成算法过于累坠,不过是一五官俱全的游戏,(mazeMain.c是主要文件,编译时请将Compiler的Model改为Huge<TC2>)-randomly create a maze game, and to give users interactive, self-satisfied, but some functions are too lengthy, random generation algorithm too tired sinkers, but is a complete facial features of the game, (mazeMain.c is the main document, compiled with the Model Compiler please read Hugelt; TC2gt ;)
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Size: 93184 |
Author: 文曦畅 |
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Description: 人脸特征定位，实现人脸相似度计算，二值化，边缘提取。解压密码：123-positioning facial features, facial similarity to achieve, the two values, edge extraction. Extracting Password : 123
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Size: 61440 |
Author: 周昀 |
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Description: 一个经典的人脸识别算法实例,提供人脸五官定位具体算法及两种实现流程.-a classic example of face recognition algorithm, providing facial features specific positioning algorithm and the two implementation process.
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Size: 3620864 |
Author: 周广新 |
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Description: 人脸的检测与定位(在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contrast between local and from the threshold value of two methods to improve the effectiveness of the pretreatment. Image segmentation, to achieve the classic division algorithm, and the use of group Algorithm the division results. in the face matching, based on the realization of the eyes and mouth of the geometric model matching, as well as evaluation of the structure function were studied.)
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Size: 10977280 |
Author: wfw |
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Description: 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influence of the
eigenvectors which relate to the changes of the iUumination on abstract features，a modified PCA ( A)
algorithm is propo sed．The method is based on the idea of reducing the influence of the eigenvectors associated
with the large eigenvalues by normalizing the feature vector element by its corresponding standard deviation．
Th e Yale face database and Yale face database B are used to verify the method．The simulation results show
that，f0r front face and even under the condition of limited variation in the facial po ses the proposed method
results in better perform ance than the conventional PCA and linear discriminant analysis(LDA)approaches．and
the computational cost remains the same as that ofthe PCA，and much less than that ofthe LDA．
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Size: 205824 |
Author: 费富里 |
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Description: 运用于人脸识别中的特征提取方法：通过稀疏化特征向量（即使一些不重要的特征值为0），来减少运算量-Used in face recognition feature extraction methods: by sparse feature vector (even if some important features of value 0), to reduce the computation
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Size: 1878016 |
Author: wangjia |
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Description: 计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸
特征提取方法。-Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.
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Size: 224256 |
Author: Highjoe |
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Description: An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.-An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.
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Size: 324608 |
Author: fais |
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Description: 利用人脸特征及其关系的漫画夸张与合成Relationship between facial features and their use of comic exaggeration and Synthesis-Relationship between facial features and their use of comic exaggeration and Synthesis
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Size: 946176 |
Author: hauke |
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Description: 利用MATLAB对脸部特征进行降维提取，数据齐全，可以直接运行。-Using MATLAB to reduce the dimension of facial features extraction, data is complete, can be run directly.
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Size: 6667264 |
Author: 马振磊 |
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Description: 人脸识别系统 通过matlab自带分类器和降噪功能对图片人脸的五官和人脸进行勾勒(The face recognition system is based on Matlab's own classifier and noise reduction function to outline facial features and faces.)
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Size: 326656 |
Author: 虾宝丶 |
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