# * This code was used in the following articles: # * [1] Learning 3-D Scene Structure from a Single Still Image, # * Ashutosh Saxena, Min Sun, Andrew Y. Ng, # * In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007. # * (best paper) # * [2] 3-D Reconstruction from Sparse Views using Monocular Vision, # * Ashutosh Saxena, Min Sun, Andrew Y. Ng, # * In ICCV workshop on Virtual Representations and Modeling # * of Large-scale environments (VRML), 2007. # * [3] 3-D Depth Reconstruction from a Single Still Image, # * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. # * International Journal of Computer Vision (IJCV), Aug 2007. # * [6] Learning Depth from Single Monocular Images, # * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. # * In Neural Information Processing Systems (NIPS) 18, 2005. # * # * These articles are available at: # * http://make3d.stanford.edu/publications # * # * We request that you cite the papers [1], [3] and [6] in any of # * your reports that uses this code. # * Further, if you use the code in image3dstiching/ (multiple image version), # * then please cite [2]. # * # * If you use the code in third_party/, then PLEASE CITE and follow the # * LICENSE OF THE CORRESPONDING THIRD PARTY CODE. # * # * Finally, this code is for non-commercial use only. For further # * information and to obtain a copy of the license, see # * # * http://make3d.stanford.edu/publications/code # * # * Also, the software distributed under the License is distributed on an # * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either # * express or implied. See the License for the specific language governing # * permissions and limitations under the License. # * # */ #!/bin/bash # Change to the submission directory cd $PBS_O_WORKDIR # Run the m-file matlab -nojvm -nodisplay > MatchesType3.out << EOF % Run your MATLAB commands inlin cd .. Fdir ='/afs/cs/group/reconstruction3d/scratch/TestMultipleImage/COM4_070525_001900_gates'; %Fdir ='/afs/cs/group/reconstruction3d/scratch/TestMultipleImage/COM5_070428_main_quad_123456789'; image3dstichingSetPath Stiching3dParameterSetup load([ Fdir '/data/ImgInfo.mat']); PairList = []; if false k = 1; for i = 1:5%length(ImgInfo) for j = (i+1):length(ImgInfo) PairList{k,1} = strrep(ImgInfo(i).ExifInfo.name, '.jpg', ''); PairList{k,2} = strrep(ImgInfo(j).ExifInfo.name, '.jpg', ''); k = k + 1; end end else if false PairList = [ PairList; {'IMG_0664','IMG_0668'}]; PairList = [ PairList; {'IMG_0668','IMG_0674'}]; PairList = [ PairList; {'IMG_0674','IMG_0676'}]; PairList = [ PairList; {'IMG_0676','IMG_0677'}]; PairList = [ PairList; {'IMG_0677','IMG_0678'}]; % inlcude all posible pairs PairList = [ PairList; {'IMG_0663','IMG_0665'}]; PairList = [ PairList; {'IMG_0663','IMG_0667'}]; PairList = [ PairList; {'IMG_0663','IMG_0669'}]; PairList = [ PairList; {'IMG_0663','IMG_0670'}]; PairList = [ PairList; {'IMG_0663','IMG_0671'}]; PairList = [ PairList; {'IMG_0664','IMG_0665'}]; PairList = [ PairList; {'IMG_0664','IMG_0666'}]; PairList = [ PairList; {'IMG_0664','IMG_0674'}]; PairList = [ PairList; {'IMG_0664','IMG_0675'}]; PairList = [ PairList; {'IMG_0664','IMG_0678'}]; PairList = [ PairList; {'IMG_0665','IMG_0667'}]; PairList = [ PairList; {'IMG_0665','IMG_0667'}]; PairList = [ PairList; {'IMG_0665','IMG_0671'}]; PairList = [ PairList; {'IMG_0665','IMG_0677'}]; PairList = [ PairList; {'IMG_0665','IMG_0679'}]; PairList = [ PairList; {'IMG_0666','IMG_0667'}]; PairList = [ PairList; {'IMG_0666','IMG_0668'}]; PairList = [ PairList; {'IMG_0666','IMG_0671'}]; PairList = [ PairList; {'IMG_0666','IMG_0677'}]; PairList = [ PairList; {'IMG_0666','IMG_0674'}]; end %----------------- if false PairList = [ PairList; {'IMG_0667','IMG_0670'}]; PairList = [ PairList; {'IMG_0667','IMG_0673'}]; PairList = [ PairList; {'IMG_0667','IMG_0674'}]; PairList = [ PairList; {'IMG_0667','IMG_0677'}]; PairList = [ PairList; {'IMG_0667','IMG_0678'}]; PairList = [ PairList; {'IMG_0668','IMG_0670'}]; PairList = [ PairList; {'IMG_0668','IMG_0673'}]; PairList = [ PairList; {'IMG_0668','IMG_0674'}]; PairList = [ PairList; {'IMG_0668','IMG_0677'}]; PairList = [ PairList; {'IMG_0668','IMG_0678'}]; PairList = [ PairList; {'IMG_0669','IMG_0670'}]; PairList = [ PairList; {'IMG_0669','IMG_0671'}]; PairList = [ PairList; {'IMG_0669','IMG_0673'}]; PairList = [ PairList; {'IMG_0670','IMG_0673'}]; PairList = [ PairList; {'IMG_0670','IMG_0674'}]; PairList = [ PairList; {'IMG_0670','IMG_0683'}]; PairList = [ PairList; {'IMG_0670','IMG_0684'}]; PairList = [ PairList; {'IMG_0671','IMG_0673'}]; PairList = [ PairList; {'IMG_0671','IMG_0674'}]; PairList = [ PairList; {'IMG_0671','IMG_0683'}]; PairList = [ PairList; {'IMG_0671','IMG_0684'}]; PairList = [ PairList; {'IMG_0673','IMG_0674'}]; PairList = [ PairList; {'IMG_0673','IMG_0683'}]; PairList = [ PairList; {'IMG_0673','IMG_0684'}]; end %---------------------- if true PairList = [ PairList; {'IMG_0674','IMG_0676'}]; PairList = [ PairList; {'IMG_0674','IMG_0677'}]; PairList = [ PairList; {'IMG_0674','IMG_0678'}]; PairList = [ PairList; {'IMG_0674','IMG_0679'}]; PairList = [ PairList; {'IMG_0675','IMG_0678'}]; PairList = [ PairList; {'IMG_0675','IMG_0677'}]; PairList = [ PairList; {'IMG_0675','IMG_0678'}]; PairList = [ PairList; {'IMG_0675','IMG_0679'}]; PairList = [ PairList; {'IMG_0676','IMG_0677'}]; PairList = [ PairList; {'IMG_0677','IMG_0678'}]; PairList = [ PairList; {'IMG_0677','IMG_0679'}]; PairList = [ PairList; {'IMG_0678','IMG_0679'}]; PairList = [ PairList; {'IMG_0678','IMG_0680'}]; PairList = [ PairList; {'IMG_0678','IMG_0681'}]; PairList = [ PairList; {'IMG_0679','IMG_0680'}]; PairList = [ PairList; {'IMG_0679','IMG_0681'}]; PairList = [ PairList; {'IMG_0679','IMG_0682'}]; PairList = [ PairList; {'IMG_0683','IMG_0684'}]; end end [ Matches] = MatchByPairList( defaultPara, ImgInfo, PairList, 0); save([ Fdir '/data/MatchesType3.mat'],'Matches') cd Batch/; % Exit MATLAB exit EOF # Display the output cat MatchesType3.out