Moving plane detection under translational camera motion using the c-velocity concept

S. Bouchafa, B. Zavidovique
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引用次数: 4

Abstract

This paper deals with obstacle detection from a moving camera using the new concept of c-velocity space. By analogy to the v-disparity space in stereovision based approaches, our method focuses on the extraction of 3D-planar structures like obstacles, road or buildings from a moving scene. The camera is assumed first to have a translational motion so that the dominant apparent motion generates a scale change along images. The c-velocity space is then defined as a cumulative frame in which planar surfaces are transformed into straight lines. Equations ruling the phenomenon are given and explained. Results on synthetic images are shown to meet the theory. Eventually results on real data are commented on as for the uncertainty introduced by the location of the FOE and other types of perturbations.
利用c-速度概念的平移摄像机运动下的运动平面检测
本文利用c-速度空间的新概念研究了运动摄像机的障碍物检测问题。与基于立体视觉的方法中的v-视差空间类似,我们的方法侧重于从移动场景中提取障碍物、道路或建筑物等3d平面结构。假设相机首先具有平移运动,以便主要的视运动沿着图像产生比例变化。然后将c速度空间定义为一个累积框架,其中平面被转换为直线。给出并解释了控制这一现象的方程。合成图像的结果与理论相符。最后对实际数据的结果进行了评论,以说明FOE的位置和其他类型的扰动所带来的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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