adboost_cascade
代码说明：
基于adaboost的人脸检测算法,包括训练，修改了数据读取结构，降低了内存需求(Based on adaboost face detection algorithms, including training, to modify the data read structure, reducing the memory requirements)
文件列表：
ApplyDetector.m,232,2009-05-13
BoostingAlg.m,1537,2011-03-03
CameraDemo.m,307,2011-03-04
capface.m,331,2011-03-01
ComputeBoxSum.m,308,2009-05-14
ComputeROC.m,1501,2011-02-25
ComputeSaveFData.m,1039,2011-03-10
createnonface.m,1093,2011-03-11
detectsub.m,932,2011-03-10
DisplayDetections.m,183,2009-05-28
EnumAllFeatures.m,1044,2011-03-10
eye_detection.m,144,2011-03-04
FastScanImage.m,1903,2011-03-04
GetTrainingData.m,513,2011-03-10
grayshow.m,76,2009-04-17
LearnWeakClassifier.m,1213,2011-03-02
LearnWeakClassifier_g.m,1115,2009-05-27
LoadImage.m,358,2011-03-03
MakeClassifierPic.m,239,2009-05-27
MakeFeaturePic.m,732,2009-05-27
nodetraining.m,2421,2011-03-10
plot_main_feature.m,1536,2011-03-03
PruneDetections.m,338,2011-03-03
RunCascadeTraining.m,2668,2011-03-11
RunTraining.m,479,2011-03-04
run_capture_face.m,751,2011-03-01
SaveDetections.m,638,2011-03-01
ScanImageFixedSize.m,795,2009-05-14
ScanImageOverScale.m,445,2009-05-14
SimpleTest.m,1414,2011-02-25
VecAllFeatures.m,175,2009-05-14
VecBoxSum.m,161,2009-05-14
VecComputeFeature.m,64,2009-04-17
VecFeature.m,680,2009-04-17
WriteMat.m,171,2009-05-18
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