Using Collinear Points Solving Multiple Cameras Intrinsic And External Parameters

Three-dimensional reconstruction is a hot issue in computer vision. In recent years, multi-cameras reconstruction has been widespread concern. The thesis used the geometric characteristics of collinear points to get the intrinsic parameters of the cameras. First, using the homography matrix between space collinear points and its image points got the linear constraints of the intrinsic parameters and got the intrinsic parameters for multiple cameras; then, according to the coordinates of collinear points before and after movement in each camera, solved the outside parameters of the cameras; finally, experiments show the feasibility and effectiveness of this method. The main contents include:(1) selected the three collinear points with known distance, the use of homography matrix between the space collinear points and its image points got the linear constraints of the intrinsic parameters and then solved the intrinsic parameters for multiple cameras.(2) in a multiple cameras, selected the camera in the world coordinates origin as reference cameras. Other cameras to the camera as a reference in order to sort numbers consist of an ordered set of camera.(3) in each of the camera coordinate system, the known intrinsic parameters of the camera and the image point coordinates calculate to the world coordinates of collinear points.(4) according to the coordinates of the collinear points motion in space to establish a coordinate frame.Thought the coordinate frame got the camera rotation matrix and translation vector relative to the reference camera.(5) simulated data and real image experiments to verify the effectiveness and feasibility of the proposed method.