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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