1 | % * This code was used in the following articles:
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2 | % * [1] Learning 3-D Scene Structure from a Single Still Image,
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3 | % * Ashutosh Saxena, Min Sun, Andrew Y. Ng,
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4 | % * In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007.
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5 | % * (best paper)
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6 | % * [2] 3-D Reconstruction from Sparse Views using Monocular Vision,
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7 | % * Ashutosh Saxena, Min Sun, Andrew Y. Ng,
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8 | % * In ICCV workshop on Virtual Representations and Modeling
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9 | % * of Large-scale environments (VRML), 2007.
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10 | % * [3] 3-D Depth Reconstruction from a Single Still Image,
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11 | % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
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12 | % * International Journal of Computer Vision (IJCV), Aug 2007.
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13 | % * [6] Learning Depth from Single Monocular Images,
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14 | % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng.
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15 | % * In Neural Information Processing Systems (NIPS) 18, 2005.
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16 | % *
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17 | % * These articles are available at:
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18 | % * http://make3d.stanford.edu/publications
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19 | % *
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20 | % * We request that you cite the papers [1], [3] and [6] in any of
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21 | % * your reports that uses this code.
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22 | % * Further, if you use the code in image3dstiching/ (multiple image version),
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23 | % * then please cite [2].
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24 | % *
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25 | % * If you use the code in third_party/, then PLEASE CITE and follow the
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26 | % * LICENSE OF THE CORRESPONDING THIRD PARTY CODE.
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27 | % *
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28 | % * Finally, this code is for non-commercial use only. For further
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29 | % * information and to obtain a copy of the license, see
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30 | % *
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31 | % * http://make3d.stanford.edu/publications/code
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32 | % *
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33 | % * Also, the software distributed under the License is distributed on an
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34 | % * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
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35 | % * express or implied. See the License for the specific language governing
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36 | % * permissions and limitations under the License.
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37 | % *
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38 | % */
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39 | function []=gen_Popup(sigm,k,minValue,MaxSize); |
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40 | |
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41 | % This function generate the photopopup from the cmu software |
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42 | % for comparison purpose |
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43 | % Also it generate the labeled image fro sky and ground |
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44 | |
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45 | % Not to be used during inference. |
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46 | % Generate Sky Mask using our features, and their+our data |
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47 | |
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48 | %%% |
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49 | % For each image in filename, run the CMU photopopup. Read in the |
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50 | % labeling and extract ground and sky labels. save both the full |
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51 | % size and VertYNuDepth x HoriXNuDepth labels to |
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52 | % scratch/data/MaskGSky.mat and MaskGSkyMaxSize.mat |
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53 | %%% |
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54 | |
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55 | % declaim global variable |
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56 | global GeneralDataFolder ScratchDataFolder LocalFolder ClusterExecutionDirectory... |
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57 | ImgFolder VertYNuPatch VertYNuDepth HoriXNuPatch HoriXNuDepth a_default b_default Ox_default Oy_default... |
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58 | Horizon_default filename batchSize NuRow_default SegVertYSize SegHoriXSize PopUpVertY PopUpHoriX taskName; |
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59 | |
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60 | RunPopUp = true; |
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61 | %load([ScratchDataFolder '/data/MaskGSky.mat']); |
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62 | |
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63 | % prepare env setting for runing CMU's software |
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64 | %origHome=matlabroot; |
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65 | system('setenv MATLABROOT /afs/cs.stanford.edu/package/matlab-r14sp3/matlab/r14sp3'); |
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66 | system('setenv LD_LIBRARY_PATH $MATLABROOT/sys/os/glnx86:$MATLABROOT/bin/glnx86:$MATLABROOT/sys/java/jre/glnx86/jre1.5.0/lib/i386/native_threads:$MATLABROOT/sys/java/jre/glnx86/jre1.5.0/lib/i386/client:$MATLABROOT/sys/java/jre/glnx86/jre1.5.0/lib/i386'); |
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67 | system('setenv XAPPLRESDIR $MATLABROOT/X11/app-defaults'); |
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68 | |
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69 | % change directory to run CMU's code |
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70 | cd([ScratchDataFolder '/../Popup']); |
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71 | |
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72 | NuPics = size(filename,2); |
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73 | for i = 1:NuPics |
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74 | %newfilename = strrep(filename{i},'.jpg',''); |
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75 | newfilename = strrep(filename{i},'.',''); |
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76 | % running the cmu software in unix |
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77 | if RunPopUp |
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78 | unix(['mkdir ' ScratchDataFolder '/popup/' filename{i}]); |
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79 | system([LocalFolder '/../third_party/PhotoPopUp/photoPopup ./classifiers_08_22_2005.mat ' '../' taskName '/ppm/' newfilename '.jpg ' ' ppm ' ScratchDataFolder '/popup/' filename{i}]); |
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80 | end |
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81 | % start getting out the sky and ground mask |
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82 | %LableImgName = strrep(newfilename,'.',''); |
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83 | imgLabel = imread([ScratchDataFolder '/popup/' filename{i} '/' newfilename '.l.jpg'],'jpg'); |
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84 | maskgTemp = imgLabel(:,:,2)>imgLabel(:,:,1)& imgLabel(:,:,2)>imgLabel(:,:,3) & imgLabel(:,:,2)>100; |
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85 | maskSkyTemp = imgLabel(:,:,3)>imgLabel(:,:,1)& imgLabel(:,:,3)>imgLabel(:,:,2) & imgLabel(:,:,3)>100; |
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86 | % if MaxSize ==0 |
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87 | maskg{i} = imresize(maskgTemp,[VertYNuDepth HoriXNuDepth],'nearest'); |
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88 | maskSky{i} = imresize(maskSkyTemp,[VertYNuDepth HoriXNuDepth],'nearest'); |
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89 | % save([ScratchDataFolder '/data/MaskGSky.mat'],'maskg','maskSky'); |
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90 | % else |
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91 | maskgMaxSize{i} = maskgTemp; |
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92 | maskSkyMaxSize{i} = maskSkyTemp; |
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93 | % save([ScratchDataFolder '/data/MaskGSkyMaxSize.mat'],'maskgMaxSize','maskSkyMaxSize'); |
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94 | % end |
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95 | if RunPopUp |
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96 | % delete the ppm file of superpixel |
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97 | % delete([ScratchDataFolder '/ppm/' newfilename '.ppm']); |
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98 | delete([ScratchDataFolder '/ppm/' newfilename '.jpg']); |
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99 | end |
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100 | end |
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101 | %if MaxSize ==0 |
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102 | save([ScratchDataFolder '/data/MaskGSky.mat'],'maskg','maskSky'); |
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103 | %else |
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104 | save([ScratchDataFolder '/data/MaskGSkyMaxSize.mat'],'maskgMaxSize','maskSkyMaxSize'); |
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105 | %end |
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106 | |
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107 | cd([LocalFolder]); |
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