% * This code was used in the following articles: % * [1] Learning 3-D Scene Structure from a Single Still Image, % * Ashutosh Saxena, Min Sun, Andrew Y. Ng, % * In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007. % * (best paper) % * [2] 3-D Reconstruction from Sparse Views using Monocular Vision, % * Ashutosh Saxena, Min Sun, Andrew Y. Ng, % * In ICCV workshop on Virtual Representations and Modeling % * of Large-scale environments (VRML), 2007. % * [3] 3-D Depth Reconstruction from a Single Still Image, % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. % * International Journal of Computer Vision (IJCV), Aug 2007. % * [6] Learning Depth from Single Monocular Images, % * Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. % * In Neural Information Processing Systems (NIPS) 18, 2005. % * % * These articles are available at: % * http://make3d.stanford.edu/publications % * % * We request that you cite the papers [1], [3] and [6] in any of % * your reports that uses this code. % * Further, if you use the code in image3dstiching/ (multiple image version), % * then please cite [2]. % * % * If you use the code in third_party/, then PLEASE CITE and follow the % * LICENSE OF THE CORRESPONDING THIRD PARTY CODE. % * % * Finally, this code is for non-commercial use only. For further % * information and to obtain a copy of the license, see % * % * http://make3d.stanford.edu/publications/code % * % * Also, the software distributed under the License is distributed on an % * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either % * express or implied. See the License for the specific language governing % * permissions and limitations under the License. % * % */ function [f1, f2, matches] = readSurfMatches(file1, file2, dir, Type, DenseFlag, Flag128, NumCol) % This function reads in surf features and matches for a pair of images. % file1/2 contain the features, contians the matches. % if dir is passed, find the featues at dir/surf/file1.surf % and matches at dir/surf_matches/file1-file2.match if nargin < 5 DenseFlag = false; Flag128 = true; NumCol = 2; elseif nargin < 6 Flag128 = true; NumCol = 2; elseif nargin <7 NumCol = 2; end FlagSwitch = 0; % initialize surf1 surf2 and match if DenseFlag surf1 = [dir '/surf/' file1 '.surfDense']; surf2 = [dir '/surf/' file2 '.surfDense']; match = [dir '/surf_matches/' file1 '-' file2 '.match' Type]; f = fopen(match); if f==-1 match = [dir '/surf_matches/' file2 '-' file1 '.match' Type]; FlagSwitch = 1; f = fopen(match); end else if Flag128 surf1 = [dir '/surf/' file1 '.surf']; surf2 = [dir '/surf/' file2 '.surf']; match = [dir '/surf_matches/' file1 '-' file2 '.match' Type]; else surf1 = [dir '/surf/' file1 '.surf_64']; surf2 = [dir '/surf/' file2 '.surf_64']; match = [dir '/surf_matches/' file1 '-' file2 '.match_64']; end f = fopen(match); if f==-1 FlagSwitch = 1; if Flag128 surf2 = [dir '/surf/' file2 '.surf']; surf1 = [dir '/surf/' file1 '.surf']; match = [dir '/surf_matches/' file2 '-' file1 '.match' Type]; else surf2 = [dir '/surf/' file2 '.surf_64']; surf1 = [dir '/surf/' file1 '.surf_64']; match = [dir '/surf_matches/' file2 '-' file1 '.match_64']; end f = fopen(match); end end if f == -1 f1 = []; f2 = []; matches = []; return; end matches = fscanf(f, '%g', [NumCol, inf]); %2xNumMatches matches = matches+1; fclose(f); if FlagSwitch matches = flipud(matches); end % read in first set of features f = fopen(surf1); g = fgetl(f); %skip first 2 lines features = str2num(g)+5; % dynamic deciding features length from data g = fgetl(f); %70xnumPoints, xy positions are points(1:2, :) for SURF-64 %134xnumPoints, xy positions are points(1:2, :) for SURF-128 frames1 = fscanf(f, '%f', [features, inf]); fclose(f); % read in second set of features f = fopen(surf2); g = fgetl(f); %skip first 2 lines g = fgetl(f); frames2 = fscanf(f, '%f', [features, inf]); %70xnumPoints, xy positions are points(1:2, :) fclose(f); f1 = frames1(1:2, :); f2 = frames2(1:2, :);