Abstract

A parametric camera model and calibration procedures are developed for an outdoor active camera system with pan, tilt and zoom control. Unlike traditional methods, active camera motion plays a key role in the calibration process, and no special laboratory setups are required. Intrinsic parameters are estimated automatically by fitting parametric models to the optic flow induced by rotating and zooming. No knowledge of 3D scene structure is needed. Extrinsic parameters are calculated by actively rotating the camera to sight a sparse set of surveyed landmarks over a virtual hemispherical field of view, yielding a well-conditioned pose estimation problem. c fl1998 Carnegie Mellon University This work is funded by DARPA contract DAAB07-97-C-J031. This work has been submitted to IEEE CVPR99 for possible publication. Copyright may be transferred without notice, after which this version will be superseded. 1 Introduction This paper develops a parametric projection model for the intrinsic (...

Citations