Design of Omni-Directional Vision Sensors without dead angle

In the real-time panoramic images processing, omni-directional vision sensors (ODVS) is a fast and reliable means of visual information collection, but current ODVS have a dead angle. According to the average angular resolution for two-catadioptric ODVS imaging theory, a new design of ODVS structure and catadioptric mirror is presented in this paper to overcome the defect. The reflectors curvilinear numeric solutions of this catadioptric mirror is obtained by the fourth order Runge-Kutta algorithm, and the dead angle part of the panoramic images that normal ODVS canpsilat acquire is acquired by a combine-lens of a wide-angle lens and a normal ODVS. The experimental results show that the ODVS presented in this paper can achieve a true omni-directional surveillance, and have a good applicational value in the fields such as intelligent omni-directional video surveillance, dynamic image understanding and computer vision.