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 [f1, f2, matches] = readSurfMatches(file1, file2, dir, Type, DenseFlag, Flag128, NumCol) |
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40 | % This function reads in surf features and matches for a pair of images. |
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41 | % file1/2 contain the features, contians the matches. |
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42 | % if dir is passed, find the featues at dir/surf/file1.surf |
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43 | % and matches at dir/surf_matches/file1-file2.match |
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44 | if nargin < 5 |
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45 | DenseFlag = false; |
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46 | Flag128 = true; |
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47 | NumCol = 2; |
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48 | elseif nargin < 6 |
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49 | Flag128 = true; |
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50 | NumCol = 2; |
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51 | elseif nargin <7 |
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52 | NumCol = 2; |
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53 | end |
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54 | |
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55 | FlagSwitch = 0; |
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56 | % initialize surf1 surf2 and match |
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57 | if DenseFlag |
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58 | surf1 = [dir '/surf/' file1 '.surfDense']; |
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59 | surf2 = [dir '/surf/' file2 '.surfDense']; |
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60 | match = [dir '/surf_matches/' file1 '-' file2 '.match' Type]; |
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61 | f = fopen(match); |
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62 | if f==-1 |
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63 | match = [dir '/surf_matches/' file2 '-' file1 '.match' Type]; |
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64 | FlagSwitch = 1; |
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65 | f = fopen(match); |
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66 | end |
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67 | else |
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68 | if Flag128 |
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69 | surf1 = [dir '/surf/' file1 '.surf']; |
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70 | surf2 = [dir '/surf/' file2 '.surf']; |
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71 | match = [dir '/surf_matches/' file1 '-' file2 '.match' Type]; |
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72 | else |
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73 | surf1 = [dir '/surf/' file1 '.surf_64']; |
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74 | surf2 = [dir '/surf/' file2 '.surf_64']; |
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75 | match = [dir '/surf_matches/' file1 '-' file2 '.match_64']; |
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76 | end |
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77 | f = fopen(match); |
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78 | if f==-1 |
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79 | FlagSwitch = 1; |
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80 | if Flag128 |
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81 | surf2 = [dir '/surf/' file2 '.surf']; |
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82 | surf1 = [dir '/surf/' file1 '.surf']; |
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83 | match = [dir '/surf_matches/' file2 '-' file1 '.match' Type]; |
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84 | else |
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85 | surf2 = [dir '/surf/' file2 '.surf_64']; |
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86 | surf1 = [dir '/surf/' file1 '.surf_64']; |
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87 | match = [dir '/surf_matches/' file2 '-' file1 '.match_64']; |
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88 | end |
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89 | f = fopen(match); |
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90 | end |
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91 | end |
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92 | |
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93 | if f == -1 |
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94 | f1 = []; |
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95 | f2 = []; |
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96 | matches = []; |
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97 | return; |
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98 | end |
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99 | |
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100 | matches = fscanf(f, '%g', [NumCol, inf]); %2xNumMatches |
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101 | matches = matches+1; |
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102 | fclose(f); |
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103 | if FlagSwitch |
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104 | matches = flipud(matches); |
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105 | end |
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106 | |
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107 | |
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108 | % read in first set of features |
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109 | f = fopen(surf1); |
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110 | g = fgetl(f); %skip first 2 lines |
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111 | features = str2num(g)+5; % dynamic deciding features length from data |
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112 | g = fgetl(f); |
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113 | %70xnumPoints, xy positions are points(1:2, :) for SURF-64 |
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114 | %134xnumPoints, xy positions are points(1:2, :) for SURF-128 |
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115 | frames1 = fscanf(f, '%f', [features, inf]); |
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116 | fclose(f); |
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117 | |
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118 | % read in second set of features |
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119 | f = fopen(surf2); |
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120 | g = fgetl(f); %skip first 2 lines |
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121 | g = fgetl(f); |
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122 | frames2 = fscanf(f, '%f', [features, inf]); %70xnumPoints, xy positions are points(1:2, :) |
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123 | fclose(f); |
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124 | |
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125 | f1 = frames1(1:2, :); |
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126 | f2 = frames2(1:2, :); |
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