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 | |
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40 | #!/bin/bash |
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41 | |
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42 | # Change to the submission directory |
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43 | cd $PBS_O_WORKDIR |
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44 | |
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45 | # Run the m-file |
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46 | matlab -nojvm -nodisplay > CleanMatches.out << EOF |
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47 | |
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48 | % Run your MATLAB commands inlin |
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49 | cd .. |
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50 | if false |
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51 | k = 1; |
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52 | PairList = []; |
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53 | for i = 1:5%length(ImgInfo) |
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54 | for j = (i+1):length(ImgInfo) |
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55 | PairList{k,1} = strrep(ImgInfo(i).ExifInfo.name, '.jpg', ''); |
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56 | PairList{k,2} = strrep(ImgInfo(j).ExifInfo.name, '.jpg', ''); |
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57 | k = k + 1; |
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58 | end |
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59 | end |
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60 | else |
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61 | if false |
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62 | PairList = [ PairList; {'IMG_0664','IMG_0668'}]; |
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63 | PairList = [ PairList; {'IMG_0668','IMG_0674'}]; |
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64 | PairList = [ PairList; {'IMG_0674','IMG_0676'}]; |
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65 | PairList = [ PairList; {'IMG_0676','IMG_0677'}]; |
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66 | PairList = [ PairList; {'IMG_0677','IMG_0678'}]; |
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67 | |
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68 | % inlcude all posible pairs |
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69 | PairList = [ PairList; {'IMG_0663','IMG_0665'}]; |
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70 | PairList = [ PairList; {'IMG_0663','IMG_0667'}]; |
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71 | PairList = [ PairList; {'IMG_0663','IMG_0669'}]; |
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72 | PairList = [ PairList; {'IMG_0663','IMG_0670'}]; |
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73 | PairList = [ PairList; {'IMG_0663','IMG_0671'}]; |
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74 | |
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75 | PairList = [ PairList; {'IMG_0664','IMG_0665'}]; |
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76 | PairList = [ PairList; {'IMG_0664','IMG_0666'}]; |
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77 | PairList = [ PairList; {'IMG_0664','IMG_0674'}]; |
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78 | PairList = [ PairList; {'IMG_0664','IMG_0675'}]; |
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79 | PairList = [ PairList; {'IMG_0664','IMG_0678'}]; |
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80 | |
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81 | PairList = [ PairList; {'IMG_0665','IMG_0667'}]; |
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82 | PairList = [ PairList; {'IMG_0665','IMG_0667'}]; |
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83 | PairList = [ PairList; {'IMG_0665','IMG_0671'}]; |
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84 | PairList = [ PairList; {'IMG_0665','IMG_0677'}]; |
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85 | PairList = [ PairList; {'IMG_0665','IMG_0679'}]; |
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86 | |
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87 | PairList = [ PairList; {'IMG_0666','IMG_0667'}]; |
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88 | PairList = [ PairList; {'IMG_0666','IMG_0668'}]; |
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89 | PairList = [ PairList; {'IMG_0666','IMG_0671'}]; |
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90 | PairList = [ PairList; {'IMG_0666','IMG_0677'}]; |
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91 | PairList = [ PairList; {'IMG_0666','IMG_0674'}]; |
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92 | end |
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93 | %----------------- |
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94 | if false |
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95 | PairList = [ PairList; {'IMG_0667','IMG_0670'}]; |
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96 | PairList = [ PairList; {'IMG_0667','IMG_0673'}]; |
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97 | PairList = [ PairList; {'IMG_0667','IMG_0674'}]; |
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98 | PairList = [ PairList; {'IMG_0667','IMG_0677'}]; |
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99 | PairList = [ PairList; {'IMG_0667','IMG_0678'}]; |
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100 | |
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101 | PairList = [ PairList; {'IMG_0668','IMG_0670'}]; |
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102 | PairList = [ PairList; {'IMG_0668','IMG_0673'}]; |
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103 | PairList = [ PairList; {'IMG_0668','IMG_0674'}]; |
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104 | PairList = [ PairList; {'IMG_0668','IMG_0677'}]; |
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105 | PairList = [ PairList; {'IMG_0668','IMG_0678'}]; |
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106 | |
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107 | PairList = [ PairList; {'IMG_0669','IMG_0670'}]; |
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108 | PairList = [ PairList; {'IMG_0669','IMG_0671'}]; |
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109 | PairList = [ PairList; {'IMG_0669','IMG_0673'}]; |
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110 | |
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111 | PairList = [ PairList; {'IMG_0670','IMG_0673'}]; |
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112 | PairList = [ PairList; {'IMG_0670','IMG_0674'}]; |
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113 | PairList = [ PairList; {'IMG_0670','IMG_0683'}]; |
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114 | PairList = [ PairList; {'IMG_0670','IMG_0684'}]; |
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115 | |
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116 | PairList = [ PairList; {'IMG_0671','IMG_0673'}]; |
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117 | PairList = [ PairList; {'IMG_0671','IMG_0674'}]; |
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118 | PairList = [ PairList; {'IMG_0671','IMG_0683'}]; |
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119 | PairList = [ PairList; {'IMG_0671','IMG_0684'}]; |
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120 | |
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121 | PairList = [ PairList; {'IMG_0673','IMG_0674'}]; |
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122 | PairList = [ PairList; {'IMG_0673','IMG_0683'}]; |
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123 | PairList = [ PairList; {'IMG_0673','IMG_0684'}]; |
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124 | end |
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125 | %---------------------- |
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126 | if true |
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127 | PairList = [ PairList; {'IMG_0674','IMG_0676'}]; |
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128 | PairList = [ PairList; {'IMG_0674','IMG_0677'}]; |
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129 | PairList = [ PairList; {'IMG_0674','IMG_0678'}]; |
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130 | PairList = [ PairList; {'IMG_0674','IMG_0679'}]; |
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131 | |
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132 | PairList = [ PairList; {'IMG_0675','IMG_0678'}]; |
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133 | PairList = [ PairList; {'IMG_0675','IMG_0677'}]; |
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134 | PairList = [ PairList; {'IMG_0675','IMG_0678'}]; |
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135 | PairList = [ PairList; {'IMG_0675','IMG_0679'}]; |
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136 | |
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137 | PairList = [ PairList; {'IMG_0676','IMG_0677'}]; |
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138 | |
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139 | PairList = [ PairList; {'IMG_0677','IMG_0678'}]; |
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140 | PairList = [ PairList; {'IMG_0677','IMG_0679'}]; |
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141 | |
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142 | PairList = [ PairList; {'IMG_0678','IMG_0679'}]; |
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143 | PairList = [ PairList; {'IMG_0678','IMG_0680'}]; |
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144 | PairList = [ PairList; {'IMG_0678','IMG_0681'}]; |
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145 | |
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146 | PairList = [ PairList; {'IMG_0679','IMG_0680'}]; |
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147 | PairList = [ PairList; {'IMG_0679','IMG_0681'}]; |
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148 | PairList = [ PairList; {'IMG_0679','IMG_0682'}]; |
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149 | |
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150 | PairList = [ PairList; {'IMG_0683','IMG_0684'}]; |
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151 | end |
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152 | end |
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153 | EvaluateMatchesTracks |
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154 | cd Batch/; |
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155 | |
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156 | % Exit MATLAB |
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157 | exit |
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158 | EOF |
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159 | |
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160 | # Display the output |
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161 | cat CleanMatches.out |
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