Matlab achieve BOVW model, feature extraction algorithm using SIFT, dictionary learning using k-means clustering, data collection using UCM21 class category

BOVW_Class_DEMO\.gitignore
...............\BOW\CalculateDictionary.m
...............\...\do_assignment.m
...............\...\do_assignment.m.bak
...............\...\do_classification_inter_svm.m
...............\...\do_classification_rbf_svm.m
...............\...\do_normalize.m
...............\...\EuclideanDistance.m
...............\...\find_grid.m
...............\...\find_sift_grid.m
...............\...\GenerateSiftDescriptors.m
...............\...\hist_isect.m
...............\...\hist_isect_c.c
...............\...\load_image.m
...............\...\MakeDataDirectory.m
...............\...\make_dir.m
...............\...\normalize_sift.m
...............\...\num2string.m
...............\...\read_image_db.m
...............\...\sumnormalize.m
...............\ini.m
...............\main.m
...............\BOW
...............\data
...............\images
...............\labels
BOVW_Class_DEMO

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