[37] | 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 [FeaVector] = genHisFeaVector(f,RowTop,RowBottom,ColumnLeft,ColumnRight,i);
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| 40 | % This function set the feature to the right format of Feature Vector
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| 41 | global GeneralDataFolder ScratchDataFolder LocalFolder ClusterExecutionDirectory...
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| 42 | ImgFolder VertYNuPatch VertYNuDepth HoriXNuPatch HoriXNuDepth a_default b_default Ox_default Oy_default...
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| 43 | Horizon_default filename NuRow_default;
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| 44 |
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| 45 | NuRow = NuRow_default;
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| 46 |
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| 47 | % load pics info
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| 48 | PicsinfoName = strrep(filename{i},'img','picsinfo');
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| 49 | temp = dir([GeneralDataFolder '/PicsInfo/' PicsinfoName '.mat']);
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| 50 | if size(temp,1) == 0
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| 51 | a = a_default;
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| 52 | b = b_default;
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| 53 | Ox = Ox_default;
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| 54 | Oy = Oy_default;
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| 55 | Horizon = Horizon_default;
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| 56 | else
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| 57 | load([GeneralDataFolder '/PicsInfo/' PicsinfoName '.mat']);
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| 58 | end
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| 59 |
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| 60 | FeaVector = [];
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| 61 | shift = [0 0];
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| 62 | l = 1;
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| 63 | [Ix Iy] = meshgrid(max(min(ColumnLeft+shift(l,1):ColumnRight+shift(l,1),HoriXNuDepth),1),...
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| 64 | max(min(RowTop+shift(l,2):RowBottom+shift(l,2),VertYNuDepth),1));
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| 65 | maskNeibor = sub2ind([VertYNuDepth, HoriXNuDepth], Iy(:), Ix(:));
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| 66 | if (sum(sum(Iy==1))== size(Iy(:),1) && l ==4)||(sum(sum( Iy == VertYNuDepth ))== size(Iy(:),1) && l ==5)
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| 67 | FeaVector =[ FeaVector ;(conv2(f(maskNeibor,:),[0.25; 0.25; 0.25; 0.25],'same'))'];
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| 68 | else
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| 69 | FeaVector =[ FeaVector ;f(maskNeibor,:)'];
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| 70 | end
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| 71 |
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| 72 | return;
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