文件名称:Kofsky-Code-Orange

  • 所属分类:
  • 软件工程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2013-09-24
  • 文件大小:
  • 256kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 苏**
  • 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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人脸检测,matlab源码,适合初学者使用,包括Adaboost及Haar-like特征提取-face detectiom
(系统自动生成,下载前可以参看下载内容)

下载文件列表





PreProcess\clearNaNData.m

..........\generateFlagPicture.m

..........\LabWindowStat.m

..........\readWindowSamples.m

..........\sampleDistribution.m

..........\writeFlagFile.m

recognition\base\AdaBoostDecisionForImageBlock.m

...........\....\AdaBoostDecisionForSample.m

...........\....\calDetectRate.m

...........\....\CalPixelFrequencyInWindow.m

...........\....\dispCombineImage.m

...........\....\geneStdDisImage.m

...........\....\getStdDisImage.m

...........\....\LabelDetectWindow.m

...........\....\MultiThreshSegement.m

...........\....\ThreshSegement.m

...........\CankerDR\ConfuseDiseaseAreaRecognition.asv

...........\........\ConfuseDiseaseAreaRecognition.m

...........\dispWindowingResult.m

...........\gui\OrangeDiagnose.m

...........\HMax&ColorHMax\ImageBlockRecognizedByColorHMax.asv

...........\..............\ImageBlockRecognizedByColorHMax.m

...........\..............\ImageBlockRecognizedByHMax.asv

...........\..............\ImageBlockRecognizedByHMax.m

...........\..............\testColorHMaxPyramid.m

...........\..............\testColorHMaxSegmentation.m

...........\..............\testHMaxMoveWindowing.m

...........\PyramidAnalysis\PyramidAnalysis.m

...........\...............\testPyramidAnalysis.m

...........\testDSDetect.asv

...........\testDSDetect.m

...........\Windowing\MoveWindowing.m

...........\.........\testMWSegment.m

...........\......Union\areaRecognition.m

...........\...........\TestWindowUnion.m

...........\...........\windowRecognition.asv

...........\...........\windowRecognition.m

...........\...........Ex\areaRecognitionEx.m

...........\.............\ImageBlockRecognize\ImageBlockRecogByAdaBoost.m

...........\.............\...................\ImageBlockRecogByCascadeAdaBoost.m

...........\.............\TestWindowUnionEx.asv

...........\.............\TestWindowUnionEx.m

...........\.............\windowRecognitionEx.m

RectFeature\areaRecognitionExEX.m

...........\blockColorDistribute.asv

...........\blockColorDistribute.m

...........\CankerFeatureCluster.asv

...........\CankerFeatureCluster.m

...........\extractDirRectFeature.m

...........\extractImageRectFeature.m

...........\isSampleSimilarToCankerModel.asv

...........\isSampleSimilarToCankerModel.m

...........\testCankerModel.m

resultDisp\AdaBoostTrainResultShow.m

..........\dispMultiImage.m

..........\disSample.m

test\detectNegativeSamples.m

....\extractWindowSamplesFeature.m

....\test.m

....\testANN.m

....\TestBG.asv

....\TestBG.m

....\testDistctDisease.m

....\testExtractWindowSamplesFeature.m

....\testGabor.m

....\testpi.m

....\testTrainSamples.asv

....\testTrainSamples.m

.ools\dataHist.m

.....\detectDuplicated.m

.....\extractDirsFeatures.m

.....\extractDirsWinsowFeatures.m

.....\geneNegativeSamples.m

.....\generateFalsePositiveSamples.m

.....\generateTrainTestSamples.m

.....\getAreaCankerSamples.m

.....\HypothesisHibernate.m

.....\imageScale.m

.....\imageZoom.m

.....\labelImage.m

.....\randnSelectSubSequence.m

.....\RenameFiles.m

.....\RTrainSamples.m

.....\trainAreaSamples.m

.....\trainWindowSamples.m

AdaBoost\AdaBoost.asv

........\AdaBoost.m

........\AdaBoostClassfy.m

........\AdaBoostWeakLearnerClassfy.m

........\analysis\analysisHypothesisFeature.asv

........\........\analysisHypothesisFeature.m

........\........\featureNameMap.m

........\calPredictErrorRate.m

........\limited\limitedTrainAdaBoostLearner.asv

........\.......\limitedTrainAdaBoostLearner.m

........\.......\testLimitedTrainAdaBoostLearner.asv

........\.......\testLimitedTrainAdaBoostLearner.m

........\other-adaboost\L_AdaBoost.m

........\..............\L_Detection.m

........\..............\L_FaceDetection.m

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