# * 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 > OccluRemoveAfterCorrMatch.out << EOF % Run your MATLAB commands inlin cd .. image3dstichingSetPath % Input value ================= Fdir ='/afs/cs/group/reconstruction3d/scratch/TestMultipleImage/COM5_070428_main_quad_123456789'; WrlName = 'Multi_Multi_QuidMetaTest3ImgHighCop200Tri2_FixG' PairList = []; PairList = [ PairList; {'IMG_0606','IMG_0610'}]; PairList = [ PairList; {'IMG_0610','IMG_0608'}]; FlagSetup; %Flag.FlagPreloadOccluDetect = 0; s = warning('off', 'all'); % ============================ Stiching3dParameterSetup; tic; %OcclusionRefineMent(defaultPara, WrlName, PairList,'TestOccluMatches','matches','NonMono'); OcclusionRefineMent(defaultPara, WrlName, PairList,'RemoveAfterOccluCorrMatches','remove','TestOccluCorrMatches'); toc; cd Batch/; % Exit MATLAB exit EOF # Display the output cat OccluRemoveAfterCorrMatch.out