L.C. Su,∗ C.J. Luo,∗∗ and F. Zhu∗∗
Omnidirectional stereo vision, catadioptric sensor, depth recovery,environmental modelling
This study describes a method to obtain obstacle information omni- directionally by a novel omnidirectional stereo vision system. Such information is important for mobile robots navigation. The omni- directional stereo vision system is based on a common perspective camera coupled with two hyperbolic mirrors. Given two images of a space point acquired by this vision system, the 3D coordinates of the point can be calculated by means of a triangulation. Then, a full model of calibrating this vision system is presented, which can be easily generalized to all kinds of catadioptic sensors. The images captured by the stereo vision system are unwrapped into panoramic images, which are then examined for stereo matching along vertical epiploar lines. An algorithm of the quick stereo edge matching method based on Canny edge detection is proposed, and the result of obstacle detection is shown as well.
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