文件名称:SVM-face-detection

  • 所属分类:
  • 其他小程序
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2015-03-07
  • 文件大小:
  • 9.65mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • vas****
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique.
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SVM-face-detection\doc

..................\...\images

..................\...\......\EXTERN_0000.jpg

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..................\...\index.html

..................\images

..................\......\img1.jpg

..................\......\img2.jpg

..................\......\img3.jpg

..................\......\img4.jpg

..................\......\negsamples.mat

..................\......\possamples.mat

..................\matlab

..................\......\addsvmpath.m

..................\......\bbox2rect.m

..................\......\bboxoverlapval.m

..................\......\cropbbox.m

..................\......\exercise.m

..................\......\meanvarpatchnorm.m

..................\......\prunebboxes.m

..................\......\setup.m

..................\......\showbbox.m

..................\......\showimage.m

..................\......\showrect.m

..................\......\SVM-KM

..................\......\......\AdaptScalSVM

..................\......\......\............\costlbfixed.m

..................\......\......\............\costlfixed.m

..................\......\......\............\costwbfixed.m

..................\......\......\............\costwfixed.m

..................\......\......\............\ExampledemoAdaptScal.m

..................\......\......\............\ExampleFeatSelAdaptScal.m

..................\......\......\............\gradlbfixed.m

..................\......\......\............\gradlfixed.m

..................\......\......\............\gradwbfixed.m

..................\......\......\............\gradwfixed.m

..................\......\......\............\LagrangeUpdate.m

..................\......\......\............\SigmaUpdate.m

..................\......\......\............\svmfit.asv

..................\......\......\............\svmfit.m

..................\......\......\............\svmfitconj.m

..................\......\......\contents.m

..................\......\......\cout.m

..................\......\......\dataset1.mat

..................\......\......\dataset2.mat

..................\......\......\dataset3.mat

..................\......\......\datasets.m

..................\......\......\featselreg

..................\......\......\..........\exfeatselreg1.m

..................\......\......\..........\FeatSelregalpha.m

..................\......\......\..........\FeatSelregalphaGD.m

..................\......\......\..........\FeatSelregalphaGDrandom.m

..................\......\......\..........\FeatSelreglinearL1.m

..................\......\......\..........\FeatSelregmargin.m

..................\......\......\..........\FeatSelregmarginGD.m

..................\......\......\..........\FeatSelregmarginGDrandom.m

..................\......\......\..........\FeatSelregr2w2.m

..................\......\......\..........\FeatSelregr2w2GD.m

..................\......\......\..........\FeatSelregr2w2GDrandom.m

..................\......\......\..........\FeatSelregspanbound.m

..................\......\......\..........\FeatSelregspanboundGD.m

..................\......\......\..........\FeatSelregspanboundGDrandom.m

..................\......\......\..........\r2alpharegL2.m

..................\......\......\..........\spanestimateregL2.m

..................\......\......\FeatureSelection

..................\......\......\................\featselcorrcoeff.m

..................\......\......\................\featselkernelderivative.m

..................\......\......\................\FeatSelmargdif.m

..................\......\......\................\FeatSelmargdif1v1.m

..................\......\......\................\FeatSelmargin.m

..................\......\......\................\FeatSelr2w2.m

..................\......\......\................\FeatSelr2w2diff.m

..................\......\......\fileaccess.m

..................\......\......\functioneval.m

..................\......\......\gda.m

..................\......\......\givrot.m

..................\......\......\kbp

..................\......\......\...\BuildTrapScale.m

..................\......\..

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