function [v1, v2, t, R ] = create2D2DExperiment( pt_number, cam_number, noise, outlier_fraction ) %% generate the camera system avg_cam_distance = 0.5; cam_offsets = zeros(3,cam_number); %cam_rotations = zeros(3,cam_number*3); if cam_number == 1 cam_offsets = zeros(3,1); %cam_rotations = eye(3); else for i=1:cam_number cam_offsets(:,i) = avg_cam_distance * generateRandomR() * [1.0; 0.0; 0.0]; %cam_rotations(:,(i-1)*3+1:(i-1)*3+3) = generateRandomR(); end end %% generate random view-points max_parallax = 2.0; max_rotation = 0.5; position1 = zeros(3,1); rotation1 = eye(3); position2 = max_parallax * 2.0 * (rand(3,1) - repmat(0.5,3,1)); rotation2 = generateBoundedR(max_rotation); %% Generate random point-cloud minDepth = 4.0; maxDepth = 8.0; normalizedPoints = 2.0*(rand(3,pt_number)-repmat(0.5,3,pt_number)); norms = sqrt(sum(normalizedPoints.*normalizedPoints)); directions = normalizedPoints./repmat(norms,3,1); points = (maxDepth-minDepth) * normalizedPoints + minDepth * directions; %% Now create the correspondences by looping through the cameras focal_length = 800.0; v1 = zeros(6,pt_number); v2 = zeros(6,pt_number); cam_correspondence = 1; cam_correspondences = zeros(1,pt_number); for i=1:pt_number cam_offset = cam_offsets(:,cam_correspondence); %cam_rotation = cam_rotations(:,(cam_correspondence-1)*3+1:(cam_correspondence-1)*3+3); body_point1 = rotation1' * (points(:,i)-position1); body_point2 = rotation2' * (points(:,i)-position2); % we actually omit the can rotation here by unrotating the bearing % vectors already bearingVector1 = body_point1 - cam_offset; bearingVector2 = body_point2 - cam_offset; bearingVector1_norm = norm(bearingVector1); bearingVector2_norm = norm(bearingVector2); bearingVector1 = bearingVector1/bearingVector1_norm; bearingVector2 = bearingVector2/bearingVector2_norm; % add noise to the bearing vectors here bearingVector1_noisy = addNoise(bearingVector1,focal_length,noise); bearingVector2_noisy = addNoise(bearingVector2,focal_length,noise); % store the normalized bearing vectors along with the cameras they are % being seen (we create correspondences that always originate from the % same camera, you can change this if you want) bearingVector1_norm = norm(bearingVector1_noisy); bearingVector2_norm = norm(bearingVector2_noisy); v1(:,i) = [bearingVector1_noisy./bearingVector1_norm; cam_offset]; v2(:,i) = [bearingVector2_noisy./bearingVector2_norm; cam_offset]; % change the camera correspondence cam_correspondences(1,i) = cam_correspondence; cam_correspondence = cam_correspondence + 1; if cam_correspondence > cam_number cam_correspondence = 1; end end %% Add outliers number_outliers = floor(outlier_fraction*pt_number); if number_outliers > 0 for i=1:number_outliers cam_correspondence = cam_correspondences(1,i); cam_offset = cam_offsets(:,cam_correspondence); %cam_rotation = cam_rotations(:,(cam_correspondence-1)*3+1:(cam_correspondence-1)*3+3); %generate random point normalizedPoint = 2.0*(rand(3,1)-repmat(0.5,3,1)); norm1 = sqrt(sum(normalizedPoint.*normalizedPoint)); direction = normalizedPoint./norm1; point = (maxDepth-minDepth) * normalizedPoint + minDepth * direction; body_point2 = rotation2' * (point-position2); % store the point (no need to add noise) bearingVector2 = body_point2 - cam_offset; % store the normalized bearing vectors along with the cameras they are % being seen (we create correspondences that always originate from the % same camera, you can change this if you want) bearingVector2_norm = norm(bearingVector2); v2(:,i) = [bearingVector2./bearingVector2_norm; cam_offset]; end end %% compute relative translation and rotation R = rotation1' * rotation2; t = rotation1' * (position2 - position1); %% Cut the cam offset in the single camera case (e.g. central) if cam_number == 1 v1 = v1(1:3,:); v2 = v2(1:3,:); end