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自己关于TVL1方法的改进
- 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 pos
IamSeg
- 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 recogn
ShaderSimpler
- 其中包含了五个光照模型的例子，还有一个全屏泛光的例子，对于想学习的人非常的有帮助-Which contains examples of five illumination model, there is a full-screen pan-ray example, for people who want to learn very helpful
Equalization
- MATLAB实现人脸识别,光照归一化算法-MATLAB realization of face recognition, illumination normalization algorithm
phong
- 大名顶顶的Phong模型(简单光照模型)不用介绍了吧！有兴趣就看看吧- The famous Phong model (simple illumination model) did not need to introduce! Has the interest to have a look
illumination-normalization
- 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 p
FaceFeaDetectionDLL
- 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 backgrou
HE
- 对于低照度图像，或是模糊不清的雾天，雨天等图像，本算法都能很好的恢复它的清晰度-For the low illumination images, or blurring of the fog, rain and other images, the algorithm can be very good clarity to restore it
IlluminationInvariantChangeDetection
- Illumination-Invariant Change Detection
AnisotropiqueSmoothing
- 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",
IluminationNormalization4FaceRecognition
- this document shows how to normalize illumination and reducing the negative effects of illumination on face recognition.
MahSom_v1
- 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 - Springe
A_New_Algorithm_ofFastFaceDetection_underComplexCo
- 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
illumination_norm
- 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.
detection2
- 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 n
illumination
- 纽约州立大学图形学光照（Illumination）课件，详细介绍了各种光照的原理方法及示例。-New York State University Graphics light (Illumination) courseware, detailing the principles of various lighting methods and examples.
RISE_110_80_source
- RISE global illumination raytracing
INface_toolbox_illumination_invariant
- INface toolbox for illumination invariant face recognition
face_detection
- computer vision, automatic detection, human face, face candidates search, skin-colour determination, 2D colour space, 3D colour space, illumination independence.
global-illumination-model
- 计算机图形学实验 球的光照模型算法 vc-Computer graphics algorithm for illumination model experimental ball vc++