资 源 简 介
资源描述
本代码提供了一种基于SURF特征点的人脸识别方法，可以实现人脸的高准确率匹配的同时，还可以高准确率识别具有任意旋转角度的人脸图像。SURF（加速的具有鲁棒性特征）算法是基于SIFT（尺度不变特征变换）算法发展而来，对图像的尺度和旋转具有不变性，且对光照变化的图像匹配具有很好的鲁棒性。我们发现把SURF算法用于人脸识别，可以很好解决目前大多数算法，如LBP，LGBP等对具有一定旋转角度的人脸图片识别率偏低的情况，并可以达到很高的识别率。当然，这依赖于人脸图像的SURF特征点的一个良好的匹配。从人脸图像抽取的SURF特征点后，为了提高SURF算法在人脸识别方面的性能，优化SURF特征点的匹配，将是这篇论文的重点。
首先本系统基于SURF算法实现人脸识别，识别率可以高达95%，。由于SURF算法比较成熟，在这里不做详细的介绍，具体可参考文献。这里简单说一下算法的实现过程：SURF算法应用于人脸识别的思路：首先是两张人脸图片各自抽取出来的特征点进行初匹配，接着介绍如何用HOUGH变换优化初匹配的结果得到候选匹配，然后介绍仿射参数计算，进一步优化匹配的结果。最后介绍两张人脸图片相似度的计算公式。
文 件 列 表
Demo.asv
Demo.m
Match_Target.asv
Match_Target.m
OpenSurf.m
Readme.txt
SubFunctions
FastHessian_BuildDerivative.m
FastHessian_ResponseLayer.m
FastHessian_buildResponseLayer.asv
FastHessian_buildResponseLayer.m
FastHessian_buildResponseMap.asv
FastHessian_buildResponseMap.m
FastHessian_getIpoints.asv
FastHessian_getIpoints.m
FastHessian_getLaplacian.m
FastHessian_getResponse.m
FastHessian_interpolateExtremum.m
FastHessian_isExtremum.m
IntegralImage_BoxIntegral.m
IntegralImage_HaarX.m
IntegralImage_HaarY.m
IntegralImage_IntegralImage.m
PaintSURF.m
SurfDescriptor_DecribeInterestPoints.m
SurfDescriptor_GetDescriptor.m
SurfDescriptor_GetOrientation.m
Target_Model1.mat
Target_Model10.mat
Target_Model100.mat
Target_Model101.mat
Target_Model102.mat
Target_Model103.mat
Target_Model104.mat
Target_Model105.mat
Target_Model106.mat
Target_Model107.mat
Target_Model108.mat
Target_Model109.mat
Target_Model11.mat
Target_Model110.mat
Target_Model111.mat
Target_Model112.mat
Target_Model113.mat
Target_Model114.mat
Target_Model115.mat
Target_Model116.mat
Target_Model117.mat
Target_Model118.mat
Target_Model119.mat
Target_Model12.mat
Target_Model120.mat
Target_Model121.mat
Target_Model122.mat
Target_Model123.mat
Target_Model124.mat
Target_Model125.mat
Target_Model126.mat
Target_Model127.mat
Target_Model128.mat
Target_Model129.mat
Target_Model13.mat
Target_Model130.mat
Target_Model131.mat
Target_Model132.mat
Target_Model133.mat
Target_Model134.mat
Target_Model135.mat
Target_Model136.mat
Target_Model137.mat
Target_Model138.mat
Target_Model139.mat
Target_Model14.mat
Target_Model140.mat
Target_Model141.mat
Target_Model142.mat
Target_Model143.mat
Target_Model144.mat
Target_Model145.mat
Target_Model146.mat
Target_Model147.mat
Target_Model148.mat
Target_Model149.mat
Target_Model15.mat
Target_Model150.mat
Target_Model151.mat
Target_Model152.mat
Target_Model153.mat
Target_Model154.mat
Target_Model155.mat
Target_Model156.mat
Target_Model157.mat
Target_Model158.mat
Target_Model159.mat
Target_Model16.mat
Target_Model160.mat
Target_Model161.mat
Target_Model162.mat
Target_Model163.mat
Target_Model164.mat
Target_Model165.mat
Target_Model166.mat
Target_Model167.mat
Target_Model168.mat
Target_Model169.mat
Target_Model17.mat
Target_Model170.mat
Target_Model171.mat
Target_Model172.mat
Target_Model173.mat
Target_Model174.mat
Target_Model175.mat
Target_Model176.mat
Target_Model177.mat
Target_Model178.mat
Target_Model179.mat
Target_Model18.mat
Target_Model180.mat
Target_Model181.mat
Target_Model182.mat
Target_Model183.mat
Target_Model184.mat
Target_Model185.mat
Target_Model186.mat
Target_Model187.mat
Target_Model188.mat
Target_Model189.mat
Target_Model19.mat
Target_Model190.mat
Target_Model191.mat
Target_Model192.mat
Target_Model193.mat
Target_Model194.mat
Target_Model195.mat
Target_Model196.mat
Target_Model197.mat
Target_Model198.mat
Target_Model199.mat
Target_Model2.mat
Target_Model20.mat
Target_Model200.mat
Target_Model21.mat
Target_Model22.mat
Target_Model23.mat
Target_Model24.mat
Target_Model25.mat
Target_Model26.mat
Target_Model27.mat
Target_Model28.mat
Target_Model29.mat
Target_Model3.mat
Target_Model30.mat
Target_Model31.mat
Target_Model32.mat
Target_Model33.mat
Target_Model34.mat
Target_Model35.mat
Target_Model36.mat
Target_Model37.mat
Target_Model38.mat
Target_Model39.mat
Target_Model4.mat
Target_Model40.mat
Target_Model41.mat
Target_Model42.mat
Target_Model43.mat
Target_Model44.mat
Target_Model45.mat
Target_Model46.mat
Target_Model47.mat
Target_Model48.mat
Target_Model49.mat
Target_Model5.mat
Target_Model50.mat
Target_Model51.mat
Target_Model52.mat
Target_Model53.mat
Target_Model54.mat
Target_Model55.mat
Target_Model56.mat
Target_Model57.mat
Target_Model58.mat
Target_Model59.mat
Target_Model6.mat
Target_Model60.mat
Target_Model61.mat
Target_Model62.mat
Target_Model63.mat
Target_Model64.mat
Target_Model65.mat
Target_Model66.mat
Target_Model67.mat
Target_Model68.mat
Target_Model69.mat
Target_Model7.mat
Target_Model70.mat
Target_Model71.mat
Target_Model72.mat
Target_Model73.mat
Target_Model74.mat
Target_Model75.mat
Target_Model76.mat
Target_Model77.mat
Target_Model78.mat
Target_Model79.mat
Target_Model8.mat
Target_Model80.mat
Target_Model81.mat
Target_Model82.mat
Target_Model83.mat
Target_Model84.mat
Target_Model85.mat
Target_Model86.mat
Target_Model87.mat
Target_Model88.mat
Target_Model89.mat
Target_Model9.mat
Target_Model90.mat
Target_Model91.mat
Target_Model92.mat
Target_Model93.mat
Target_Model94.mat
Target_Model95.mat
Target_Model96.mat
Target_Model97.mat
Target_Model98.mat
Target_Model99.mat
TestImage
1.pgm
10.pgm
2.pgm
3.pgm
4.pgm
5.pgm
6 (2).pgm
6.pgm
7.pgm
8.pgm
9.pgm
TrainImage
1.pgm
10.pgm
2.pgm
3.pgm
4.pgm
5.pgm
6.pgm
7.pgm
8.pgm
9.pgm
addap.m
check_edge.asv
check_edge.m
compare_alg.asv
compare_alg.m
createTargetModel.asv
createTargetModel.m
createTestModel.m
face
README
s1
s10
s11
s12
s13
s14
s15
s16
s17
s18
s19
s2
s20
s21
s22
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s3
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s31
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s33
s34
s35
s36
s37
s38
s39
s4
s40
s5
s6
s7
s8
s9
imrotate_demo.m
matchTarget.asv
matchTarget.m
match_plot.m
mex
Contents.m
OpenCV win64.txt
common
cppmatrix.h
examples
make.m
mextiming.h
mexutils.h
mexw32
mexw64
startup.m
surfmatch.cpp
surfpoints.cpp
surfpoints_gpu.cpp
result.mat
surfmex
SURFmex-v2
