The invention discloses a laser radar 3D point cloud data combined camera self-calibrating method, and relates to the technical fields of photography measurement and 3D reconstruction. 3D scanning iscarried out on a measured object, images of the same scene are collected in different viewpoints, features are extracted from the multiple collected images to obtain characteristic points, characteristic points in an overlapped area of any two images are searched for a corresponding nearest point, and a matching point pair is obtained by combining a random consistency algorithm; the matching pointpair is used to solve a fundamental matrix F so that the fundamental matrix F is not sensitive to Gaussian white noise; an objective function related to internal reference of a camera is establishedaccording to relation between the fundamental matrix and internal reference of the camera, and an optimization algorithm is used to solve the internal reference of the camera; and the internal reference, of the camera, needed by the optimization algorithm is set on the basis of laser radar 3D point cloud data, a pinhole imaging principle, a pixel size of a CCD camera and an image central position.Thus, the internal reference of the camera is calibrated accurately.