[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 [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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