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Illumination-Invariant Change Detection
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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",
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Detecting, identifying, and recognizing salient regions or feature points
in images is a very important and fundamental problem to the computer vision
and robotics community. Tasks like landmark detection and visual odometry,
but also object re
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INface toolbox for illumination invariant face recognition
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基于光照不变量的人脸识别-Face Recognition,Based on Illumination Invariant
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SIFT: Scale Invariant Feature Transform
SIFT isn’t just scale invariant. You can change the following, and still get good results:
• Scale (duh)
• Rotation
• Illumination
• Viewpoint
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SIFT isn’t just scale invariant. You can change the following, and still get good results:
• Scale (duh)
• Rotation
• Illumination
• Viewpoint
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SIFT isn’t just scale invariant. You can change the following, and still get good results:
• Scale (duh)
• Rotation
• Illumination
• Viewpoint
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SIFT isn’t just scale invariant. You can change the following, and still get good results:
• Scale (duh)
• Rotation
• Illumination
• Viewpoint
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基于内容的图像检索技术的关键在于特征提取,是利用图像的颜色、形状、纹理、轮廓、对象的空间关系等客观独立的存在于图像中的基本视觉特征作为图像的索引,计算查询图像和目标图像的相似距离,按相似度匹配进行检索。综合国内外研究现状,可将基于内容的图像检索技术分为如下几种类型:基于颜色特征的检索、基于纹理特征的检索、基于形状及区域的检索、基于空间约束关系的检索。-Based on comparing various affine invariant regional basis, selection of
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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 scr ipt
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The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v2.0 is a collection of Matlab functions and scr ipts intended to help researchers working in the field of face recognition.
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频域光照归一化的人脸识别
基于NSCT和SQI的光照不变量及人脸识别
张量局部判别投影的人脸识别
基于全局和局部特征集成的人脸识别-Frequency-domain light normalized face recognition
based on the NSCT and SQI s illumination invariant face recognition
Zhang amount Bureau Ministry of discriminant projectio
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This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale
Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong
robust
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Abstract— When skin areas like faces and hands are imaged under natural environments their color appearance is frequently
affected by variations in illumination intensity and chromaticity. In color-based skin tracking and detection, changing
inte
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sift算法 图像处理 尺度无关特征转换 matlabSIFT算法的主要思想是在尺度空间寻找极值点,然后对极值点进行过滤,找出稳定的特征点。最后在每个稳定的特征点周围提取图像的局部特性,形成局部描述子并将其用在以后的匹配中.-Scale Invariant Feature Transform (SIFT) is an
approach for detecting and extracting local feature
descr iptors that are reasonably i
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matlab code for The INface toolbox v2.0 for illumination invariant face recognition
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光照不变性特征,主要用于目标跟踪,是比较稳定的一种跟踪方法,应用很广-A tracking method for illumination invariant features, mainly used for target tracking, is relatively stable, a very wide application
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梯度脸是一种提取光照不变特征的算法,对光照有很好的处理效果-Gradient face is a kind of algorithm to extract the illumination invariant features, and it has a good effect on the illumination.
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Illumination Invariance through ADMMs.The code of : An Image Preprocessing Algorithm for Illumination Invariant Face Recognition in AVPBA 2003.-Illumination Invariance through ADMMs.The code of : An Image Preprocessing Algorithm for Illumination Inv
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