移动视觉系统三维特征的闭环递归估计

B. Espiau, P. Rives
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引用次数: 38

摘要

本文提出了一种方案,该方案允许仅使用由已知运动的移动视觉传感器提供的一系列图像发出的信息来估计描述三维场景中几何结构的参数。我们首先回顾使用的基本模型:点和线,然后将它们在图像平面上的透视投影与摄像机运动联系起来。将递归滤波技术应用到图像序列中,沿着摄像机的位移增量构建三维场景。给出了机器人领域的一些实验结果。
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Closed-loop recursive estimation of 3D features for a mobile vision system
This paper presents a scheme allowing to estimate parameters which describe geometrical structures in a 3D scene by only using informations issued from a sequence of images provided by a mobile vision sensor with known motion. We first recall the basic used models : points and lines, and then relate their perspective projection in the image plane to the camera motion. Some techniques of recursive filtering are used into the sequence of images to incrementaly build the 3D scene all along the displacement of the camera. Some experimental results in the field of robotics are given.
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