[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 [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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