[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 [DepthVector] = genDepthVector(Depth,RowTop,RowBottom,ColumnLeft,ColumnRight,i); |
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| 40 | % this function generate the Deoth Vector respect to the Row |
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| 41 | |
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| 42 | % This function set the feature to the right format of Feature Vector |
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| 43 | global GeneralDataFolder ScratchDataFolder LocalFolder ClusterExecutionDirectory... |
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| 44 | ImgFolder VertYNuPatch VertYNuDepth HoriXNuPatch HoriXNuDepth a_default b_default Ox_default Oy_default... |
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| 45 | Horizon_default filename NuRow_default; |
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| 46 | |
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| 47 | NuRow = NuRow_default; |
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| 48 | |
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| 49 | %lodd pics info |
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| 50 | PicsinfoName = strrep(filename{i},'img','picsinfo'); |
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| 51 | temp = dir([GeneralDataFolder '/PicsInfo/' PicsinfoName '.mat']); |
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| 52 | if size(temp,1) == 0 |
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| 53 | a = a_default; |
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| 54 | b = b_default; |
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| 55 | Ox = Ox_default; |
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| 56 | Oy = Oy_default; |
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| 57 | Horizon = Horizon_default; |
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| 58 | else |
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| 59 | load([GeneralDataFolder '/PicsInfo/' PicsinfoName '.mat']); |
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| 60 | end |
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| 61 | |
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| 62 | % generate the range of the row for the same thi (weight value) |
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| 63 | %RowskyBottom = floor(NuRow/2); |
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| 64 | %PatchSkyBottom = ceil(VertYNuDepth*(1-Horizon)); |
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| 65 | %if row <= RowskyBottom |
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| 66 | % PatchRowRatio = PatchSkyBottom/RowskyBottom; |
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| 67 | % RowTop = round((row-1)*PatchRowRatio+1); |
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| 68 | % RowBottom = round(row*PatchRowRatio); |
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| 69 | %else |
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| 70 | % PatchRowRatio = (VertYNuDepth-PatchSkyBottom)/(NuRow-RowskyBottom); |
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| 71 | % RowTop = round((row-RowskyBottom-1)*PatchRowRatio+1)+PatchSkyBottom; |
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| 72 | % RowBottom = round((row-RowskyBottom)*PatchRowRatio)+PatchSkyBottom; |
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| 73 | %end |
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| 74 | |
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| 75 | DepthVector = []; |
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| 76 | |
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| 77 | % pick out the depth |
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| 78 | shift = 9*[0 0];%; -1 0; 1 0; 0 -1; 0 1]; |
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| 79 | for l = 1:1 |
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| 80 | [Ix Iy] = meshgrid(max(min(ColumnLeft+shift(l,1):ColumnRight+shift(l,1),HoriXNuDepth),1),... |
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| 81 | max(min(RowTop+shift(l,2):RowBottom+shift(l,2),VertYNuDepth),1)); |
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| 82 | maskNeibor = sub2ind([VertYNuDepth, HoriXNuDepth], Iy(:), Ix(:)); |
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| 83 | DepthVector =[ DepthVector ;Depth(maskNeibor)]; |
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| 84 | end |
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| 85 | |
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| 86 | return; |
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