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Selective Acquisition of 3D Structure with an Active Stereo Vision System

机译:主动立体视觉系统选择性采集3D结构

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摘要

With a robot moving in an unknown environment, it is absolutely necessary to acquire the information about the 3D structure of the scene. In this article, a new method is proposed to selectively acquire the 3D structure around free spaces needed for a mobile robot with an active stereo vision system that can fixate on a 3D Point of the scene. The proposed method consists of the following two processes. (1) First, an active stereo camera is arranged in parallel, and then the direction in which promising free spaces exist is estimated and selected. (2) The 3D objects existing in the selected direction are reconstructed with successive ver- gence movements of the stereo camera. The proposed method allows the selective recovery of 3D structure needed for robot movements and is much more efficient than Previous methods involving generation of 3D descrip- tion of the whole scene through the uniform analysis of sensor information. Experiments with an actual scene show the effectiveness of the proposed method.
机译:随着机器人在未知环境中移动,绝对有必要获取有关场景的3D结构的信息。在本文中,提出了一种新方法来选择性地获取具有可固定在场景3D点上的主动立体视觉系统的移动机器人所需的自由空间周围的3D结构。所提出的方法包括以下两个过程。 (1)首先,将有源立体摄像机平行布置,然后估计并选择存在有希望的自由空间的方向。 (2)通过立体摄像机的连续渐近运动来重建在选定方向上存在的3D对象。所提出的方法可以选择性地恢复机器人运动所需的3D结构,并且比以前的涉及通过对传感器信息进行统一分析生成整个场景的3D描述的方法要有效得多。通过实际场景实验证明了该方法的有效性。

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