Description: 这是是m2hd方法进行人脸识别程序．一个非常经典的人脸识别方法，对有光照变化的人脸图象有良好的效果．-This is the method of face recognition m2hd procedures. A very classic face recognition method, there are changes in illumination face images with good results. Platform: |
Size: 2048 |
Author:邱雪娜 |
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Description: 人脸轮廓提取
简介：针对彩色24位bmp位图，通过光照补偿、肤色检测、假区域去除、轮廓跟踪，可以得到人脸轮廓线。可以是单人脸图像和多人脸图像。-Facial Contour Extraction Profile: 24 bmp for color bitmaps through the illumination compensation, color detection, false regional removal, contour tracking, can face contour lines. Can be single people face images and face images. Platform: |
Size: 901120 |
Author:游侠 |
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Description: 基于多方法融合的人脸图像光照纠正算法，总结很全面，也很清楚！
-Method of integration based on multi-face image illumination corrected algorithm, summed up a very comprehensive and also very clear! Platform: |
Size: 299008 |
Author:sun |
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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 |
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Description: 本人自己开发的一个人脸检测程序，实现人脸的精确检测，可检测人脸的轮廓，有效去除了背景干扰，对环境依赖行小，希望对做人脸检测的朋友们有所帮助是Dll的-this source code is about face detection which is developed by myself, it achieve the accurately face detection. it can detect the contour of face, and can remove the background effectively. it can be applied on many illumination enviroment. Platform: |
Size: 2426880 |
Author:李伟 |
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Description: 对在已知人脸区域中检测人眼的方法进行综述, 将其分为常光源下的人眼检测和特种光源的人眼检测
两大类。较为全面地综述了当前国内外相关眼睛检测以及定位技术, 分析了各种方法的优缺点, 探讨了当前困
扰人眼检测技术的难点以及人眼检测技术的发展趋势。-This paper supplied a survey of the eyes detection in the area of the known face images by dividing theminto normal
illumination-based and special illumination-based approaches. Platform: |
Size: 147456 |
Author:lvl |
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Description: 自己关于TVL1方法的改进 用来去除人脸上面的光照得到人脸的纹理图像，对于光照下人脸识别有相当大的作用。也可以用来定位-Their own methods to improve on TVL1 people face to face to remove the light to be Face of texture images, for face recognition under illumination a significant role. Can also be used to position Platform: |
Size: 4096 |
Author:zt |
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Description: source code for light normalisation presented by Ralph Gross in this paper
@inproceedings{RGross_AVBPA_2003,
author = "Ralph Gross and Vladimir Brajovic",
title = "An Image Preprocessing Algorithm for Illumination Invariant Face Recognition",
booktitle = "4th International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA)",
month = "June",
year = "2003",
publisher = "Springer"
}
-source code for light normalisation presented by Ralph Gross in this paper
@inproceedings{RGross_AVBPA_2003,
author = "Ralph Gross and Vladimir Brajovic",
title = "An Image Preprocessing Algorithm for Illumination Invariant Face Recognition",
booktitle = "4th International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA)",
month = "June",
year = "2003",
publisher = "Springer"
}
Platform: |
Size: 3072 |
Author:laouer |
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Description: this document shows how to normalize illumination and reducing the negative effects of illumination on face recognition. Platform: |
Size: 570368 |
Author:gawed |
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Description: This code is the implementation of Mahalnobis SOM algorithm published in this article.
Face recognition under varying illumination using Mahalanobis self-organizing map
S Aly, N Tsuruta, RI Taniguchi - Artificial Life and Robotics, 2008 - Springer-This code is the implementation of Mahalnobis SOM algorithm published in this article.
Face recognition under varying illumination using Mahalanobis self-organizing map
S Aly, N Tsuruta, RI Taniguchi- Artificial Life and Robotics, 2008- Springer Platform: |
Size: 1024 |
Author:Aly |
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Description: 使用一种新的假面变换和模板匹配的人脸检测算法，能够对复杂环境中大小不等的人脸
进行快速、准确的检测．算法首先通过假面变换来预测人脸位置上边沿的中心，然后对图像中的预
测位置进行模板匹配，设计了一类对照明变化、噪声干扰具有较强适应性的模板匹配方法，最后对
匹配结果进行验证，确定人脸准确位置．采用多种环境下的大量图片进行实验，结果显示该算法具
有较快的检测速度和较高的准确性及鲁棒性．
-A novelalgorithm offacedetection based on mask transform and templatem atch makes
facedetection more accurateand fasterin differentfacesizeswith complex condition．Thecenter
ofthe face edges is predicted by mask transform firstly，and the candidate position is then
matched with template，in which an adaptive template match method which is immune to
illumination and noiseisintroduced．Finally，theaccurateposition offaceisverifiedon thebasis
ofthematch results．The experim entalresultson m any imagesin variousconditions show that
the algorithm isfast，accurateand robust．
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Size: 233472 |
Author:coco_220 |
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Description: 基于LPP的人脸识别模块，运用matlab7.0编写，识别率达到70 以上，能够很好的识别不同姿势，光照，表情的变化-LPP-based face recognition module, using matlab7.0 writing, over 70 recognition rate can be a very good identification of the different positions, illumination, expression changes in Platform: |
Size: 5120 |
Author:12 |
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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 |
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Description: 分析了Retinex 理论的本质意义, 得出Retinex 输出图像本质上是相对反射率, 而相对反射率对光照不敏感, 从而将其应
用于光照情况复杂的人脸图像预处理-Analysis of the Retinex theory of the nature of meaning, derived Retinex output image is essentially a relative reflectance rate, while the relative reflectivity is not sensitive to light, which should be
For the illumination of the complexity of human face image pre-processing Platform: |
Size: 132096 |
Author:张正荣 |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
Platform: |
Size: 2751488 |
Author:minu |
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Description: 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do？的ObjectID = 13701＆的objectType =FILE下载。
-The purpose of this paper is threefold: firstly, the local Successive
Mean Quantization Transform features are proposed for illumination
and sensor insensitive operation in object recognition. Secondly, a
split up Sparse Network of Winnows is presented to speed up the
original classifier. Finally, the features and classifier are combined
for the task of frontal face detection. Detection results are presented
for the MIT+CMU and the BioID databases. With regard to this
face detector, the Receiver Operation Characteristics curve for the
BioID database yields the best published result. The result for the
CMU+MIT database is comparable to state-of-the-art face detectors.
A Matlab version of the face detection algorithm can be downloaded
from http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do?objectId=13701&objectType=FILE. Platform: |
Size: 1397760 |
Author:霞 |
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Description: 光照不变的人脸识别问题是目前比较关注的一个大问题，本文章为你提供了一种新方法-a good paper for illumination face recognition method Platform: |
Size: 230400 |
Author:郝存明 |
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Search - illumination face