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 [currMask1, xVec1, yVec1, currMask2, xVec2, yVec2]=creatingMasks(Sup_low,Sup_medi) |
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40 | |
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41 | % This function called by findBoundaryFeaturesMore |
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42 | % written by Rajiv |
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43 | |
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44 | NuSup = unique(Sup_low)'; |
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45 | NuSup = sort(NuSup); |
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46 | count=0; |
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47 | mask=sparse(size(Sup_medi,1),size(Sup_medi,2)); |
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48 | |
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49 | % initalize currMask2, xVec2, yVec2 in case not assigned |
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50 | currMask2 = []; |
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51 | xVec2 = []; |
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52 | yVec2 = []; |
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53 | |
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54 | for i = NuSup |
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55 | count=count+1; |
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56 | if count<=500 |
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57 | mask = Sup_medi==i; |
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58 | currMask1{count} = mask; |
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59 | %% find midpoint of this superpixel |
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60 | %% Notice that the sum command sums the columns of a matrix |
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61 | xVec1{count}=sum(mask); |
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62 | yVec1{count}=sum(mask'); |
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63 | else |
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64 | mask = Sup_medi==i; |
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65 | currMask2{count-500} = mask; |
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66 | %% find midpoint of this superpixel |
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67 | %% Notice that the sum command sums the columns of a matrix |
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68 | xVec2{count-500}=sum(mask); |
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69 | yVec2{count-500}=sum(mask'); |
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70 | end |
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71 | end |
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