A New Camera Calibration Algorithm Based on Rotating Object

With 3D vision measuring, camera calibration is necessary for extracting metric information from 2D images. We present a new algorithm for camera calibration that only requires a spatial triangle with known size. In our method, the camera is fixed while the triangle is rotated freely at one of its vertices. By taking a few (at least two) pictures of the rotating object at an identical camera view position and direction, the camera intrinsic matrix can be obtained. It advances other traditional methods in that the extrinsic parameters are separated from the intrinsic ones, which simplifies the problem with more efficiency and accuracy. Experiments also show that our method is robust and results in high resolution.

[1]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Richard I. Hartley,et al.  An algorithm for self calibration from several views , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Gerd Hirzinger,et al.  Active self-calibration of robotic eyes and hand-eye relationships with model identification , 1998, IEEE Trans. Robotics Autom..

[4]  J. Douglas Faires,et al.  Numerical Analysis , 1981 .

[5]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[6]  Jorge J. Moré,et al.  The Levenberg-Marquardt algo-rithm: Implementation and theory , 1977 .

[7]  O. Faugeras.  Three-dimensional computer vision: a geometric viewpoint , 1993 .

[8]  Zhengyou Zhang.  Camera Calibration with One-Dimensional Objects , 2002, ECCV.

[9]  Stephen J. Maybank,et al.  On plane-based camera calibration: A general algorithm, singularities, applications , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[10]  Xiang Wan,et al.  Camera parameters estimation and evaluation in active vision system , 1996, Pattern Recognit..

[11]  Quang-Tuan Luong.  Matrice Fondamentale et Calibration Visuelle sur l''''Environnement - Vers une plus grande autonomie , 1992 .

[12]  Olivier D. Faugeras,et al.  A theory of self-calibration of a moving camera , 1992, International Journal of Computer Vision.

[13]  Larry S. Davis,et al.  Camera calibration using spheres: a semi-definite programming approach , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.