[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 displayDepthMaps(depthMap1, depthMap2, depthMap3, depthMap4, depthMap5, depthMap6, n, trainOrTest, mode) |
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| 40 | % this function displays the _Real_ values of depthmaps in the display, so |
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| 41 | % that you can compare them side-by-side. |
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| 42 | |
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| 43 | global minDistance maxDistance |
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| 44 | minDistance = min(min(depthMap1)); |
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| 45 | maxDistance = max(max(depthMap1)); |
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| 46 | |
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| 47 | if nargin < 9, mode = 0; end |
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| 48 | if nargin < 8, trainOrTest = 1,end |
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| 49 | if nargin < 7, n = 0; end |
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| 50 | if nargin < 6, depthMap6=0; end |
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| 51 | if nargin < 5, depthMap5=0; end |
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| 52 | if nargin < 4, depthMap4=0; end |
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| 53 | if nargin < 3, depthMap3=0; end |
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| 54 | if nargin < 2, depthMap2=0; end |
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| 55 | if nargin < 1, disp('Why the **ck you called me: No Image to display.'); return; end |
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| 56 | |
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| 57 | if n >= 0 |
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| 58 | jetMap = jet; |
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| 59 | jetMap = 1-jetMap(end:-1:1,:); |
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| 60 | jetMap = jetMap(end:-1:1,:); |
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| 61 | |
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| 62 | jetMap = imresize(jetMap, [256 3], 'bilinear'); |
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| 63 | |
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| 64 | displayNorm = size(jetMap,1); |
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| 65 | |
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| 66 | warning off; |
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| 67 | depthMap1 = uint8( displayNorm* (depthMap1 - minDistance) / (maxDistance - minDistance) ); |
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| 68 | depthMap2 = uint8( displayNorm* (depthMap2 - minDistance) / (maxDistance - minDistance) ); |
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| 69 | depthMap3 = uint8( displayNorm* (depthMap3 - minDistance) / (maxDistance - minDistance) ); |
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| 70 | depthMap4 = uint8( displayNorm* (depthMap4 - minDistance) / (maxDistance - minDistance) ); |
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| 71 | depthMap5 = uint8( displayNorm* (depthMap5 - minDistance) / (maxDistance - minDistance) ); |
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| 72 | depthMap6 = uint8( displayNorm* (depthMap6 - minDistance) / (maxDistance - minDistance) ); |
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| 73 | warning on; |
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| 74 | |
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| 75 | %figure, hist( double(depthMap1(:) )) ; |
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| 76 | %figure, hist( double(depthMap2(:) )) ; |
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| 77 | |
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| 78 | [max( depthMap1(:) ), min( depthMap1(:) )]; |
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| 79 | |
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| 80 | % if mode == 0, figure, end |
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| 81 | if mode, figure, else, subplot(1,1,1), end |
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| 82 | image( depthMap1 ); colormap( jetMap ); axis off; axis tight;%colorbar |
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| 83 | % if mode, figure, else, subplot(2,3,2), end |
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| 84 | % image( depthMap2 ); colormap( jetMap ); axis off; axis tight;%colorbar |
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| 85 | % if mode, figure, else, subplot(2,3,3), end |
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| 86 | % image( depthMap3 ); colormap( jetMap ); axis off; axis tight;%colorbar |
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| 87 | % if mode, figure, else, subplot(2,3,4), end |
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| 88 | % image( depthMap4 ); colormap( jetMap ); axis off; axis tight;%colorbar |
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| 89 | % if mode, figure, else, subplot(2,3,5), end |
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| 90 | % image( depthMap5 ); colormap( jetMap ); axis off; axis tight;%colorbar |
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| 91 | % if mode, figure, else, subplot(2,3,6), end |
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| 92 | % image( depthMap6 ); colormap( jetMap ); axis off; axis tight;%colorbar |
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| 93 | end |
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| 94 | |
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| 95 | if n ~= 0 |
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| 96 | if n > 0, figure(1000*n), |
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| 97 | else, figure(-1000*n); |
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| 98 | end |
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| 99 | n = abs(n); |
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| 100 | global imageDirectory |
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| 101 | dirList = dir([imageDirectory '*right*.jpg']); |
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| 102 | if trainOrTest == 1 |
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| 103 | actualImageNumber = floor((n-1)*4/3+1); |
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| 104 | else |
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| 105 | actualImageNumber = n*4; |
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| 106 | end |
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| 107 | imageFilename = dirList(actualImageNumber).name; |
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| 108 | A = imread([imageDirectory imageFilename]); |
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| 109 | imshow(A); |
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| 110 | end |
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| 111 | return; |
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