Title:
scene_labeling_cvpr2012_v1
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Description: Based on ultra-pixel image to divide the scene, you can achieve rapid segmentation, detection based on the depth information and the color information
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scene_labeling_cvpr2012
.......................\nyu_depth
.......................\.........\DATASET.txt
.......................\.........\data_split
.......................\.........\..........\train_10.txt
.......................\.........\..........\train_02.txt
.......................\.........\..........\test_07.txt
.......................\.........\..........\test_08.txt
.......................\.........\..........\train_09.txt
.......................\.........\..........\test_02.txt
.......................\.........\..........\test_05.txt
.......................\.........\..........\all.txt
.......................\.........\..........\test_09.txt
.......................\.........\..........\test_06.txt
.......................\.........\..........\train_04.txt
.......................\.........\..........\train_07.txt
.......................\.........\..........\train_08.txt
.......................\.........\..........\test_01.txt
.......................\.........\..........\test_10.txt
.......................\.........\..........\train_01.txt
.......................\.........\..........\train_03.txt
.......................\.........\..........\train_06.txt
.......................\.........\..........\train_05.txt
.......................\.........\..........\test_03.txt
.......................\.........\..........\test_04.txt
.......................\.........\nyu_data_depths_raw_mask250.mat
.......................\.........\convert_dataset.m
.......................\code
.......................\....\compute_mapping_segmentation.m
.......................\....\compute_features_baseseg_stanford.m
.......................\....\pcnormal.m
.......................\....\get_segment_label.m
.......................\....\compute_features_baseseg_nyu_depth.m
.......................\....\collect_superpixel_features_stanford.m
.......................\....\load_kdes_words.m
.......................\....\region_features_extra_rgbd.m
.......................\....\kdes_data
.......................\....\.........\rgbkdeswords_400_stanford.mat
.......................\....\.........\gkdes_params.mat
.......................\....\.........\lbpkdes_params.mat
.......................\....\.........\gkdeswords_400_stanford.mat
.......................\....\.........\gkdesdepth_params.mat
.......................\....\.........\rgbkdes_params.mat
.......................\....\.........\gkdeswords_200_fergus.mat
.......................\....\.........\spinkdes_params.mat
.......................\....\.........\rgbkdeswords_200_fergus.mat
.......................\....\.........\spinkdeswords_200_fergus.mat
.......................\....\.........\lbpkdeswords_400_stanford.mat
.......................\....\.........\gkdesdepthwords_200_fergus.mat
.......................\....\collect_superpixel_features_nyu_depth.m
.......................\....\classify_segmentation_tree.m
.......................\....\classify_superpixel.m
.......................\....\save_feature_rgbd.m
.......................\....\eval_superpixel_nyu_depth.m
.......................\....\get_kdes_weight_seg.m
.......................\....\visualize_label_stanford.m
.......................\....\DepthtoCloud.m
.......................\....\collect_tree_data.m
.......................\....\script_run_superpixel_labeling_stanford.m
.......................\....\save_feature_rgb.m
.......................\....\liblinear-weights-1.8-dense-float
.......................\....\.................................\linear.cpp
.......................\....\.................................\train
.......................\....\.................................\README.weight
.......................\....\.................................\predict.c
.......................\....\.................................\linear.o
.......................\....\.................................\COPYRIGHT
.......................\....\.................................\matlab
.......................\....\.................................\......\linear_model_matlab.c
.......................\....\.................................\.....
