CODE 1.GeometricContext file is complete the pictu

Title: CODE

Category:
matlab
Tags:
[Matlab] [源码]
File Size:
6.6mb
Update:
2012-11-26
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Uploaded by:
jlu_zhangshu

Description: 1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition

Downloaders recently: [More information of uploader jlu_zhangshu]

To Search: GrabCut Matlab Code for Iris Recognition automatic face matlab toolbox for image segmentation HOG SVM iris code matlab foreground extraction Interactive graph cuts classification sift features SIFT image matlab

[iris_bayes] - Bayesian classifier C source code, using
[GrabCut] - GrabCut image segmentation algorithm, us
[hog] - I can extract images of HOG features, re
[AFMM_Inpainting] - Sample C++ source code for the inpaintin
[DDA] - Developed using VC++6.0 camera photo sof
[irisrecognition_rar] - really good iris recog code
[svm_face_recognition] - A very good facial expression recognitio
[Pattern-Recognition] - Character recognition, KL face recogniti
[LabTemplateMatching] - a face detection algorithm based on temp
[image-recognition-] - Matlab source code of image recognition,

File list (Check if you may need any files):

上传代码\GeometricContext\LICENSE.txt
........\................\README
........\................\test_dir\results\Thumbs.db
........\................\........\.......\tmpimsp8247727.g.png
........\................\........\.......\tmpimsp8247727.v.png
........\................\........\images\alley01.jpg
........\................\........\......\city10.jpg
........\................\........\......\lakecomo2008.jpg
........\................\........\......\M2U00037[(000047)17-22-11].JPG
........\................\........\......\Thumbs.db
........\................\src\APPgetLabeledImageM2005.asv
........\................\...\APPgetLabeledImageM2005.m
........\................\...\APPtestDirectory.m
........\................\...\APPtestImage.m
........\................\...\APPtestImageM2005.asv
........\................\...\APPtestImageM2005.m
........\................\...\boost_classify.m
........\................\...\classifiers_08_22_2005.mat
........\................\...\Gclassify.mat
........\................\...\ijcvTestImage.m
........\................\...\ijcvTestImageList.m
........\................\...\im2superpixels.m
........\................\...\mccExcludedFiles.log
........\................\...\msLabelMap2Sp.m
........\................\...\photoPopup.m
........\................\...\photoPopupIjcv.m
........\................\...\photoPopupM.m
........\................\...\photoPopupM2005.asv
........\................\...\photoPopupM2005.m
........\................\...\runtrain.asv
........\................\...\runtrain.m
........\................\...\runtrainadaboost.asv
........\................\...\runtrainadaboost.m
........\................\...\segment.exe
........\................\...\segment_directory.pl
........\................\...\vrml\APPcreateGroundPoints.m
........\................\...\....\APPfitGroundHough.m
........\................\...\....\APPlabels2planes.m
........\................\...\....\APPplanes2faces.m
........\................\...\....\APPwriteVrmlModel.m
........\................\...\....\APPwriteVrmlModel.m~
........\................\...\....\APPwriteVrmlModel_v2.m
........\................\...\....\faces2vrml.m
........\................\...\util\calibrateEdgeClassifier.m
........\................\...\....\confidenceImages2pg.m
........\................\...\....\evaluateProbabilityEstimate.m
........\................\...\....\get_used_features.m
........\................\...\....\pg2confidenceImages.m
........\................\...\....\pg2prcurve.m
........\................\...\....\pg2roc.m
........\................\...\....\processSuperpixelImage.m
........\................\...\....\regressMajorityPercentage.m
........\................\...\....\regressMajorityPercentageDT.m
........\................\...\....\segmentation2labels.m
........\................\...\....\segmentation2labels2.m
........\................\...\....\splitpg.m
........\................\...\....\writeAllLabeledImages.m
........\................\...\....\writeConfidenceImages.m
........\................\...\tools\displaySegmentGraph.m
........\................\...\.....\weightedstats\ksdensityw.asv
........\................\...\.....\.............\ksdensityw.m
........\................\...\.....\.............\treefitw.asv
........\................\...\.....\.............\treefitw.m
........\................\...\.....\.............\treetestw.asv
........\................\...\.....\.............\treetestw.m
........\................\...\.....\.............\private\addbisa.m
........\................\...\.....\.............\.......\addinvg.m
........\................\...\.....\.............\.......\addlogi.m
........\................\...\.....\.............\.......\addnaka.m
........\................\...\.....\.............\.......\addrice.m
........\................\...\.....\.............\.......\addtls.m
........\................\...\.....\.............\.......\dfaddbuttons.m
........\................\...\.....\.............\.......\dfaddparamfit.m
........\................\...\.....\.............\.......\dfaddsm

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