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一个基于matlab语言的编程，可以实现对人脸的识别算法-A matlab-based programming language can be achieved on the human face recognition algorithm
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matlab的一个人脸识别系统
包括gabor，pca，ica的源码-matlab a face recognition system includes gabor, pca, ica source
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一个可以识别人脸的小程序
面部识别VC++源程序,可进行定位.-A face recognition facial recognition applet VC++ source code, can be targeted.
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用VC++实现SIFT算法的人脸识别的源代码-SIFT using VC++ to achieve the source code for face recognition algorithms
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Scale Invariant Feature Transform (SIFT) has shown to be very powerful for general object detection/recognition. And recently, it has been applied in face recognition. This is the matlab code.
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1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序
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高独特性特征的选择以及合适匹配策略的选用是人脸识别技术的关键。讨论了基于仿射不变的几何特
征SIFT算子进行人脸识别的方法。SIFT算子的计算复杂度较高，并且不同的人脸表情和图像模糊会加大特征匹
配的难度。为克服上述缺点，提出了一种新的算法，将选择6个人脸上感兴趣子区域进行描述，并根据各自的独特
性赋予不同的权值，最后在匹配过程中使用相似度的平方来减小偏差数据造成的影响。实验结果表明，该方法能
有效减轻表情变化对于身份识别率急剧下降的影响，并可显著减少计算复杂度和特征匹配时间。-
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This paper investigates a face recognition system based on SIFT feature and its distribution on feature space.
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This paper investigates a new face recognition system based on an efficient design of MLP classifier using each SIFT (Scale Invariant Feature Transform) keypoint as feature.
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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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My presentation consists of four main parts.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the propo
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此代码为SIFT算法的C代码，用于提取图像的特征信息，可用于人脸识别等各种领域-This code is SIFT algorithm C code for extracting image feature information can be used in various fields such as face recognition
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本代码是应用sift算法进行的特征点匹配与配准，可以应用于图像拼接，人脸识别等等，用法非常强大。可以运行-This code is matched with the feature point registration application sift algorithm can be applied to the image stitching, face recognition, etc., usage is very powerful. You can run
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人脸识别中的光照处理方法，结合PCA的尺度不变特征变换(SIFT)算法，本程序的性能已经超过其他算法。- Face Recognition light treatment method, Combined with PCA scale invariant feature transform (SIFT) algorithm, This program has exceeded the performance of other algorithms.
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结合PCA的尺度不变特征变换(SIFT)算法，Gabor小波变换与PCA的人脸识别代码，实现了图像的灰度化并进一步用于视频监视控。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Gabor wavelet transform and PCA face recognition code, Achieve a grayscale image and further control for video su
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结合PCA的尺度不变特征变换(SIFT)算法，各种kalman滤波器的设计，人脸识别中的光照处理方法。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Various kalman filter design, Face Recognition light treatment method.
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面像识别训练时用到的归一化特征，进行人脸特征提取的代码(The normalization features used in facial recognition training, and the code for facial feature extraction)
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