[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 plotKyleData(pseudoDepthMap,depthMapXRes,depthMapYRes, ... |
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| 40 | imgDirectory,imageFilename) |
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| 41 | |
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| 42 | depthMapPlot = pseudoDepthMap(1:depthMapXRes,depthMapYRes:-1:1,3); |
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| 43 | A = imread([imgDirectory imageFilename]); |
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| 44 | A=imrotate(A,-90); |
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| 45 | |
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| 46 | D_high = imresize(depthMapPlot, [size(A,1) size(A,2)], 'nearest'); |
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| 47 | B = rgb2ycbcr(A); |
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| 48 | scaling_factor = floor(256/max(max(D_high))); |
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| 49 | B(:,:,2) = scaling_factor*D_high; % The scaling factor should be chosen such that values are in between |
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| 50 | % 0 and 255? Here we set color channel to depthmap. |
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| 51 | |
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| 52 | figure; |
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| 53 | subplot(1,2,1); |
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| 54 | imagesc(A), axis equal; |
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| 55 | |
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| 56 | % copying from displayDepthMap |
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| 57 | |
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| 58 | minDistance = min(min(D_high)); |
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| 59 | maxDistance = max(max(D_high)); |
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| 60 | jetMap = jet; |
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| 61 | % close; |
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| 62 | jetMap = 1-jetMap(end:-1:1,:); |
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| 63 | jetMap = jetMap(end:-1:1,:); |
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| 64 | jetMap = imresize(jetMap, [256 3], 'bilinear'); |
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| 65 | displayNorm = size(jetMap,1); |
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| 66 | warning off; |
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| 67 | D_high = uint8( displayNorm* (D_high - minDistance) / (maxDistance - minDistance) ); |
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| 68 | warning on; |
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| 69 | subplot(1,2,2); |
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| 70 | imagesc( D_high ); axis equal; colormap( jetMap ); axis off; axis tight; |
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| 71 | |
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| 72 | figure; %subplot(2,2,2); |
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| 73 | imagesc(B), axis equal; |
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