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[Special Effectsillumination-normalization

Description: 这个c#编写的程序,用来对人脸图像进行预处理,从而提升人脸识别算法的性能。这里提出了3种用于人脸识别的图像预处理的光照归一化算法,即:Multiscale retinex和anisotropic 和isotropic平滑方法。-The c# Preparation procedures used for face image preprocessing, so as to enhance the performance of face recognition algorithms. Here put forward three kinds of image preprocessing for face recognition illumination normalization algorithm, namely: Multiscale retinex and anisotropic and isotropic smoothing method.
Platform: | Size: 250880 | Author: 小单 | Hits:

[.netTetris

Description: 这是本人用C#做的俄罗斯方块游戏。 有单人游戏功能,双人对战功能,人机对战功能;游戏难度可设定,根据不同级别,游戏区的大小不一样,方块的类型可以选择甚至自己编辑,游戏速度可调,按键可自行设定;游戏规则与经典的不太一样哦,当然也可以选择经典模式的玩法;采用GDI+接口做的界面,相对比较漂亮,不喜欢可自己改界面。 带有源码和Release版(Release版不需编译,在安装了Microsoft .NET Framework 2.0的机器上直接用来就能玩)。 在 MS Visual Studio 2005 环境下编译通过。-This is, I use C
Platform: | Size: 830464 | Author: Lingjeng | Hits:

[Special EffectsEqualization

Description: MATLAB实现人脸识别,光照归一化算法-MATLAB realization of face recognition, illumination normalization algorithm
Platform: | Size: 411648 | Author: li | Hits:

[Special Effectsillumination_norm

Description: 毕设时写的程序,主要是人脸识别中的光照处理方法,包括直方图均衡,对数变换,SQI,MQI,SI等。本程序基于opencv实现。-This program demonstrates some illumination normalization methods used in face recognition.Histogram equaliztion,Logarithm transform,SQI,MQI are included.This program is based on opencv.
Platform: | Size: 324608 | Author: 顾徐鹏 | Hits:

[Special EffectsIamSeg

Description: 基于形态学商图像的光照归一化算法.复杂光照条件下的人脸/P,~J1是一个困难但需迫切解决的问题,为此提出了一种有效的光照归一化算法. 该方法根据面部光照特点,基于数学形态学和商图像技术对各种光照条件下的人脸图像进行归一化处理,并且将它 发展到动态地估计光照强度,进一步增强消除光照和保留特征的效果.与传统的技术相比,该方法无须训练数据集以 及假定光源位置,并且每人只需一幅注册图像,在耶鲁人脸图像库B上的测试表明,该算法以较小的计算代价取得了 优良的识别性能.-Face recognition under complex illumination conditions is still an open question.To cope with the problem ,this paper proposes an effective illumination normalization method.The proposed method employs morphology and quotient image techniques by analyzing the face illumination,and it is upgraded with dynamical lighting estimation technique to strengthen illumination compensation and feature enhancement.Compared with traditional approaches,this method doesn’t need any training data and any assumption on the light conditions, moreover,the enrollment requires only one image for each subject.The proposed methods are evaluated on Yale Face database B and receive a very competitive recognition rate with low computational cost.
Platform: | Size: 299008 | Author: 郭事业 | Hits:

[Graph RecognizePreFace

Description: 采用光照归一化算法,可以用于人脸识别的预处理。-Illumination normalization algorithm for face recognition.
Platform: | Size: 318464 | Author: 兰鹰 | Hits:

[Graph RecognizeFaceRecog_src

Description: 程序结构 整个工程可以分为3个部分:算法、功能和应用。  算法部分 算法部分目前分为4个模块:人脸对齐、光照归一化、特征提取和选择、子空间降维,每个模块是一个项目,每个项目生成一个dll供功能部分显式调用。  功能部分 功能部分只有一个项目FaceMngr,该部分依赖于算法部分,实现人脸注册、训练、识别、导入/导出等具体功能。该项目生成一个dll供应用部分隐式调用。  应用部分 人脸识别Demo. 另外,工程中还有一个项目tools,实现了一些整个工程都可能用到的函数,大部分与OpenCV有关。该项目生成一个dll供各部分隐式调用。-Program Structure The whole project can be divided into three parts: the algorithm, function and application.  algorithm part Algorithm is part of the currently divided into four modules: face alignment, illumination normalization, feature extraction and selection, reduced subspace Dimension, each module is a project, each project generates a dll explicitly call for the functional part.  Features section Functional part of only one project FaceMngr, part of the part depends on the algorithm to achieve face up, training, Recognition, import/export and other specific functions. The project generates a dll for the supply of part of the implicit call.  Application Part Face Recognition Demo. In addition, there is a project engineering tools, to achieve a number of projects are likely to use the function, the majority With OpenCV related. The project generates a dll called implicitly for each part.
Platform: | Size: 627712 | Author: 吴嘉晔 | Hits:

[Graph RecognizeINFace_v2

Description: 人脸识别工具箱。包含了人脸识别的各种基本函数,用MATLAB编写,非常适合研究者使用。-The INface toolbox for illumination invariant face recognition .The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v 2.0 is a collection of Matlab functions and scripts intended to helpresearchers working in the fi eld of face recognition.
Platform: | Size: 747520 | Author: 王蕊 | Hits:

[matlabillumination-invariant-face-recognition

Description: The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v2.0 is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition.
Platform: | Size: 732160 | Author: | Hits:

[Special Effectsdct

Description: DCT is one of the novel normalization techniques for illumination variation. The technique is in- corporated by truncated the low frequency DCT Coecients. In face image illumination, changes slowly compared to re ectance. As a result illuminations are mainly in Low frequency components. Since we attempt to recognize face image by its re ectance characteristic, illumination variations can be reduced by removing low-frequency components.
Platform: | Size: 1024 | Author: murthy | Hits:

[Special Effectsnormalization-methods

Description: The document describes different illumination methods used in image processing.
Platform: | Size: 270336 | Author: murthy | Hits:

[Graph Recognize[Ms.C-THESIS]-A-New-Illumination-Normalization-Ap

Description: A proposed illumination normalization method for face recognition... suitable for holistic-based methods
Platform: | Size: 6241280 | Author: TA | Hits:

[Special EffectsEnhanced-HM-Approach

Description: Illumination normalization approach for FR based on Enhanced histogram matching
Platform: | Size: 1332224 | Author: TA | Hits:

[Special Effectszhifangtujunhenggailiang

Description: 直方图均衡化的改良版,更好的消除光照影响,实现光照归一化。-a novol method of histogram equalization,it has a better performance on dealing with illumination normalization
Platform: | Size: 269312 | Author: | Hits:

[Software EngineeringIllumination-Normalization

Description: A new algorithm for illumination normaliza-tion and uneven background correction in images, and this model requires no training data, no assumption on the light source, and no align-ment between different images for illumination normaliza-tion
Platform: | Size: 817152 | Author: bobobobo | Hits:

[Special Effectsnormalize

Description: 对彩色图像进行归一化,消除由于光照不均造成的色差。-The color image normalization, to eliminate the chromatic aberration caused due to the uneven illumination.
Platform: | Size: 139264 | Author: liu | Hits:

[OtherFace_recognition

Description: 人脸识别程序。算法部分目前分为4个模块:人脸对齐、光照归一化、特征提取和选择、子空间降维,每个模块是一个项目,每个项目生成一个dll供功能部分隐式调用-Recognition program. Part of the algorithm is currently divided into four modules: face alignment, illumination normalization, feature extraction and selection, subspace dimension reduction, each module is a project, each project generates a dll called implicitly for the functional part
Platform: | Size: 1838080 | Author: 蔡梦佳 | Hits:

[Special EffectsFace-recognition

Description: 解决人脸识别系统中,人脸图像的尺寸归一化、位置校准、光照补偿、直方图均衡化、特征提取的工作-Solve the face recognition system, the size of the face image normalization, position calibration, illumination compensation, histogram equalization, feature extraction work
Platform: | Size: 4096 | Author: 瑜Orz | Hits:

[matlabnormalize_DCT

Description: This the matlab implementation of DCT based illumination normalization technique.-This is the matlab implementation of DCT based illumination normalization technique.
Platform: | Size: 2048 | Author: Abhishek | Hits:

[Windows Develop24368

Description: 程序将界面与数据处理分开,界面采用MFC的对话框模板,对注册、训练、识别和主界面分别建立一个类,通过消息处理函数与用户进行交互,利用多线程来实时显示图像。 数据处理又分为了CFaceAlign(人脸检测+几何归一化)、CLightPrep(光照归一化)、CFaceFeature(Gabor特征提取)、CSubspace(计算Fisherface子空间)四个类,还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立,互不影响。 每个类的具体方法请见相应头文件中的注释。-The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.   Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other. Specific methods of each class, see the comments in the appropriate header files.
Platform: | Size: 2856960 | Author: 李先生 | Hits:
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