extrinsic-parameters

I'm using opencv and openframeworks (ie. opengl) to calculate a camera (world transform and projection matrixes) from an image (and later, several images for triangulation). For the purposes of opencv, the "floor plan" becomes the object (ie. the chessboard) with 0,0,0 the center of the world. The world/floor positions are known so I need to get the projection information (distortion coefficients, fov etc) and the extrinsic coordinates of the camera. I have mapped the view-positions of these floor-plan points onto my 2D image in normalised view-space ([0,0] is top-left. [1,1] is bottom right).

I have calibrated 2 cameras with respect to some world coordinate system. I know rotation matrix and translation vector for each of them relative to the world frame. From these matrices how to calculate rotation matrix and translation vector of one camera with respect to the other?? Any help or suggestion please. Thanks! First convert your rotation matrix into a rotation vector. Now you have 2 3d vectors for each camera, call them A1,A2,B1,B2. You have all 4 of them with respect to some origin O. The rule you need is A relative to B = (A relative to O)- (B relative to O) Apply that rule to

I'm using Matlab for camera calibration using Jean- Yves Bouget's Camera Calibration Toolbox . I have all the camera parameters from the calibration procedure. When I use a new image not in the calibration set, I can get its transformation equation e.g. Xc=R*X+T, where X is the 3D point of the calibration rig (planar) in the world frame, and Xc its coordinates in the camera frame. In other words, I have everything (both extrinsic and intrinsic parameters). What I want to do is to perform perspective correction on this image i.e. I want it to remove any perspective and see the calibration rig

I am trying to get a global pose estimate from an image of four fiducials with known global positions using my webcam. I have checked many stackexchange questions and a few papers and I cannot seem to get a a correct solution. The position numbers I do get out are repeatable but in no way linearly proportional to camera movement. FYI I am using C++ OpenCV 2.1. At this link is pictured my coordinate systems and the test data used below. % Input to solvePnP(): imagePoints = [ 481, 831; % [x, y] format 520, 504; 1114, 828; 1106, 507] objectPoints = [0.11, 1.15, 0; % [x, y, z] format 0.11, 1.37, 0