gusucode.com > 基于matlab软件,实现双目视觉原理的摄像机标定,能根据各视场图像求内、外部参数 > 基于matlab软件,实现双目视觉原理的摄像机标定,能根据各视场图像求内、外部参数/TOOLBOX_calib/recomp_corner_calib_no_read.m
% Re-select te corners after calibration if ~exist('n_ima')|~exist('fc'), fprintf(1,'No calibration data available.\n'); return; end; check_active_images; flag = 0; for kk = ind_active, if ~exist(['y_' num2str(kk)]), flag = 1; else eval(['ykk = y_' num2str(kk) ';']); if isnan(ykk(1,1)), flag = 1; end; end; end; if flag, fprintf(1,'Need to calibrate once before before recomputing image corners. Maybe need to load Calib_Results.mat file.\n'); return; end; if n_ima == 0, fprintf(1,'No image data available\n'); else %if ~exist(['I_' num2str(ind_active(1))]), % n_ima_save = n_ima; % active_images_save = active_images; % ima_read_calib; % n_ima = n_ima_save; % active_images = active_images_save; % check_active_images; % if no_image_file, % disp('Cannot extract corners without images'); % return; % end; %end; fprintf(1,'\nRe-extraction of the grid corners on the images (after first calibration)\n'); disp('Window size for corner finder (wintx and winty):'); wintx = input('wintx ([] = 5) = '); if isempty(wintx), wintx = 5; end; wintx = round(wintx); winty = input('winty ([] = 5) = '); if isempty(winty), winty = 5; end; winty = round(winty); fprintf(1,'Window size = %dx%d\n',2*wintx+1,2*winty+1); ima_numbers = input('Number(s) of image(s) to process ([] = all images) = '); if isempty(ima_numbers), ima_proc = 1:n_ima; else ima_proc = ima_numbers; end; q_auto = input('Use the projection of 3D grid or manual click ([]=auto, other=manual): ','s'); fprintf(1,'Processing image '); for kk = ima_proc; if active_images(kk), fprintf(1,'%d...',kk); if ~type_numbering, number_ext = num2str(image_numbers(kk)); else number_ext = sprintf(['%.' num2str(N_slots) 'd'],image_numbers(kk)); end; ima_name = [calib_name number_ext '.' format_image]; if exist(ima_name), if format_image(1) == 'p', if format_image(2) == 'p', I = double(loadppm(ima_name)); else I = double(loadpgm(ima_name)); end; else if format_image(1) == 'r', I = readras(ima_name); else I = double(imread(ima_name)); end; end; if size(I,3)>1, I = 0.299 * I(:,:,1) + 0.5870 * I(:,:,2) + 0.114 * I(:,:,3); end; [ny,nx,junk] = size(I); if isempty(q_auto), eval(['y = y_' num2str(kk) ';']); xc = cornerfinder(y+1,I,winty,wintx); % the four corners eval(['wintx_' num2str(kk) ' = wintx;']); eval(['winty_' num2str(kk) ' = winty;']); eval(['x_' num2str(kk) '= xc - 1;']); else fprintf(1,'\n'); fprintf(1,'\nProcessing image %d...\n',kk); click_ima_calib_no_read; end; else fprintf(1,'Image %s not found!!!...',ima_name); end; else if ~exist(['omc_' num2str(kk)]), eval(['dX_' num2str(kk) ' = NaN;']); eval(['dY_' num2str(kk) ' = NaN;']); eval(['wintx_' num2str(kk) ' = NaN;']); eval(['winty_' num2str(kk) ' = NaN;']); eval(['x_' num2str(kk) ' = NaN*ones(2,1);']); eval(['X_' num2str(kk) ' = NaN*ones(3,1);']); eval(['n_sq_x_' num2str(kk) ' = NaN;']); eval(['n_sq_y_' num2str(kk) ' = NaN;']); end; end; end; % Recompute the error: comp_error_calib; fprintf(1,'\ndone\n'); end;