The Study Of Determining The Intrinsic And Extrinsic Parameters Of The Camera

Camera calibration is a necessary step for obtaining the 3D information from the 2D images. Since 1992, Hartley and Faugeras firstly proposed the idea of camera self-calibration, camera self-calibration has become one of the active research topic in computer vision areas. Though self-calibration methods were introduced by many literatures to solve nonlinear equations or relevant of non-linear programming questions. The final result is very sensitive to the initial value under the noise. This thesis demonstrates three kind algorithms of the robustness and the accuracy determining the camera intrinsic parameters and external parameters.Of which, the third chapter and fourth chapter of the research are main content for this paper. The third chapter is based on single-view constraints determining camera internal parameters and external parameters method, include: outward from the circles determining the camera intrinsic parameters and external parameters by linear methods, and the concentric circles determining the camera intrinsic parameters by linear methods, and determining the extrinsic parameters by also the linear methods. The fourth chapter added the third chapter methods of the third chapter not determining the camera intrinsic parameters and extrinsic parameters based on single-view constraints. This contains homographic matrix base on two-view, determining camera internal parameters and external parameters by linear methods. In addition to theoretical discussion, we also conducted a large number of numerical simulations and real image experiments.Experimental results demonstrate that the proposed reliability and validity of the algorithm.