[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 supNew = userReadImage(image_name, img_label)
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| 40 | % function userReadImage read the original image and the manually labeled
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| 41 | % image segmentation and compute the corresponding edge image.
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| 42 | % input: image_name -- the name of the original image
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| 43 | % image_label -- labeled image
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| 44 | % by Nan Hu on 10/31/2007
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| 45 |
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| 46 | % load the images
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| 47 | orgim = imread(image_name);
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| 48 | labim = imread(img_label);
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| 49 |
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| 50 | % adding paths
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| 51 | addpath(genpath('../../ec2/bin/mex'));
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| 52 |
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| 53 | % get the segmented image
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| 54 | sup = gen_Sup_efficient_mod(orgim);
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| 55 |
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| 56 | % get the indexed label image
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| 57 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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| 58 | numSeg = 4; % this is manually input, needs improve
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| 59 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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| 60 | labels = get_indexed(labim,numSeg);
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| 61 | labels = imresize(labels,size(sup),'nearest');
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| 62 |
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| 63 | % merge superpixels with the same labels
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| 64 | [supNew thrd] = merge_sup_label(sup,labels); %needs to be improved.........
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| 65 |
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| 66 | % generate edge map with 1 indicate the edge point
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| 67 | % edgemap = gen_edgemap(sup, thrd);
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| 68 | % imshow(edgemap);
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| 69 |
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| 70 | subplot(2,2,1), imshow(orgim);
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| 71 | subplot(2,2,2), imshow(labim);
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| 72 | subplot(2,2,3), imagesc(sup);
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| 73 | subplot(2,2,4), imagesc(supNew);
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| 74 |
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| 75 |
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| 76 | %==========================================================================
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| 77 | %subfunctions
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| 78 | %--------------------------------------------------------------------------
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| 79 | function labelimg = get_indexed(img,numSeg)
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| 80 | %tmp = rgb2hsv(img);
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| 81 | color = sum(img,3); %color = tmp(:,:,3); %find the color info in the img
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| 82 | sizeColor = size(color);
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| 83 | labelimg = zeros(sizeColor);
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| 84 | numColor = numel(color);
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| 85 | color = reshape(color,numColor,1);
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| 86 | clear tmp;
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| 87 | for i=1:numSeg
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| 88 | [label, freq] = mode(color(logical(color))); % extract the i-th most frequent color rather than zero
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| 89 | labelimgtmp = zeros(sizeColor);
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| 90 | if freq > numColor/100
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| 91 | tmp = logical(abs(color - label)<1); % find the elements with the same color
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| 92 | labelimgtmp(tmp)=i; % set an index for this color
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| 93 | color(tmp)=0; % get rid of this color, for finding the next
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| 94 | end
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| 95 | %cleaning singular points
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| 96 | labelimgtmp = medfilt2(labelimgtmp,[3,3]); %median filtering to kick off singular points
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| 97 | labelimg = labelimg + labelimgtmp;
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| 98 | end
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| 99 |
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| 100 | %--------------------------------------------------------------------------
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| 101 | function [sup threshold] = merge_sup_label(sup,labelimg)
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| 102 | numSeg = unique(labelimg)'; % the total indeces
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| 103 | numSeg = numSeg(2:end);
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| 104 | indold = [];
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| 105 | threshold = NaN;
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| 106 | for i = numSeg
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| 107 | tmp = ~logical(labelimg - i); % find the elements with the index
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| 108 | suplabeltmp = unique(sup(tmp))'; % get the indeces of the covered superpixels
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| 109 | if numel(suplabeltmp)>1 % merge the index of those superpixels
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| 110 | ind = median(suplabeltmp);
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| 111 | for j = suplabeltmp
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| 112 | if ~(j==ind)
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| 113 | sup(~logical(sup-j))=ind;
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| 114 | end
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| 115 | end
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| 116 | end
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| 117 | if ~isempty(indold)
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| 118 | threshold = min(threshold,abs(ind-indold)); %threshold is used in edge detection
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| 119 | end
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| 120 | indold = ind;
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| 121 | clear tmp suplabeltmp;
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| 122 | end
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| 123 | threshold = threshold/max(sup(:));
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| 124 | %--------------------------------------------------------------------------
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| 125 | function edgemap = gen_edgemap(sup,thrd)
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| 126 | if nargin<2
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| 127 | edgemap = edge(sup,'canny');
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| 128 | elseif nargin==2
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| 129 | edgemap = edge(sup,'canny',thrd);
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| 130 | end |
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