[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 [] =RenderRelations(Fdir) |
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| 40 | |
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| 41 | file = dir([ Fdir '/jpg/']); |
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| 42 | NuItem = size(file,1); |
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| 43 | j = 0; |
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| 44 | for i = 1:NuItem |
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| 45 | if size(strfind(file(i).name,'.jpg'),1) ~= 0 |
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| 46 | j = j + 1; |
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| 47 | filename{j} = strrep(file(i).name,'.jpg',''); |
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| 48 | |
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| 49 | DataFolder = [Fdir '/data/' filename{j}]; |
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| 50 | load([DataFolder '/' filename{j} '__AInfnew.mat']); |
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| 51 | WeiM = WeiM + WeiM'; |
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| 52 | |
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| 53 | % detect boundary |
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| 54 | BounaryPHori = conv2(Sup,[1 -1],'same') ~=0; |
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| 55 | BounaryPHori(:,end) = 0; |
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| 56 | BounaryPVert = conv2(Sup,[1; -1],'same') ~=0; |
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| 57 | BounaryPVert(end,:) = 0; |
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| 58 | |
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| 59 | ReL = ones(size(Sup)); |
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| 60 | SupHoriRight = Sup(logical( BounaryPHori)); |
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| 61 | Temp = [ zeros(size(Sup,1) ,1) BounaryPHori(:,1:(end-1)) ]; |
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| 62 | SupHoriLeft = Sup(logical( Temp )); |
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| 63 | EraseRowMark = SupHoriRight == 0 | SupHoriLeft == 0; |
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| 64 | SupHoriRight(EraseRowMark) = []; |
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| 65 | SupHoriLeft(EraseRowMark) = []; |
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| 66 | |
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| 67 | IndHori = sub2ind(size(WeiM), SupHoriRight, SupHoriLeft ); |
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| 68 | ReL(BounaryPHori) = WeiM(IndHori); |
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| 69 | |
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| 70 | SupVertTop = Sup(logical( BounaryPVert)); |
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| 71 | Temp = [ zeros(1,size(Sup,2) ); BounaryPVert(1:(end-1),:) ]; |
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| 72 | SupVertBottom = Sup(logical( Temp )); |
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| 73 | EraseRowMark = SupVertTop == 0 | SupVertBottom == 0; |
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| 74 | SupVertTop(EraseRowMark) = []; |
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| 75 | SupVertBottom(EraseRowMark) = []; |
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| 76 | |
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| 77 | IndVert = sub2ind(size(WeiM), SupVertTop, SupVertBottom ); |
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| 78 | ReL(BounaryPVert) = WeiM(IndVert); |
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| 79 | ReLM{j} = ReL; |
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| 80 | Nu{j} = 1./exp(abs(VarMapRaw)); |
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| 81 | end; |
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| 82 | |
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| 83 | if j == 1 |
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| 84 | % break; |
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| 85 | end |
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| 86 | end |
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| 87 | |
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| 88 | return; |
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