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Omnidirectional field of view structured light calibration method for catadioptric vision system

机译:多向视野结构化光校准方法,用于疗法视觉系统

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There have been improvements to structured light-based catadioptric vision systems (SLCV) to assist with robot navigation and reduce computation time. However, structured-light calibration does not satisfy this assumption. Motivated by this problem, this paper proposes a new approach for estimating the position of the structured lights of an SLCV system. Structured light points projected by lasers are reflected into the image plane through a conic mirror in order to view an omnidirectional image containing multiple structured light points. Efficient calibration of the laser location is possible based on the 2D information of the laser points, subject to the camera parameters and the mirror position. The performance of this method is evaluated experimentally using simulated and real data, and demonstrates that the proposed method is more robust and provides a higher measurement accuracy with a lower number of images, thus verifying the method's feasibility. (C) 2019 Elsevier Ltd. All rights reserved.
机译:结构化轻型的射频视觉系统(SLCV)已经有所改善,以帮助机器人导航并减少计算时间。但是,结构光校准不满足这种假设。这一问题的激励,提出了一种估算SLCV系统结构灯的位置的新方法。通过激光突出的结构化光点通过圆锥镜子反射到图像平面中,以便查看包含多个结构光点的全向图像。基于激光点的2D信息,可以基于相机参数和镜像位置的高效校准激光位置。通过模拟和实际数据进行实验评估该方法的性能,并表明所提出的方法更加坚固,并提供更高的图像数量的图像,从而验证该方法的可行性。 (c)2019年elestvier有限公司保留所有权利。

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