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Measuring method for the object pose based on monocular vision technology

机译:基于单目视觉技术的物体姿态测量方法

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Position and orientation estimation of the object, which can be widely applied in the fields as robot navigation, surgery, electro-optic aiming system, etc, has an important value. The monocular vision positioning algorithm which is based on the point characteristics is studied and new measurement method is proposed in this paper. First, calculate the approximate coordinates of the five reference points which can be used as the initial value of iteration in the camera coordinate system according to weakp3p; Second, get the exact coordinates of the reference points in the camera coordinate system through iterative calculation with the constraints relationship of the reference points; Finally, get the position and orientation of the object. So the measurement model of monocular vision is constructed. In order to verify the accuracy of measurement model, a plane target using infrared LED as reference points is designed to finish the verification of the measurement method and the corresponding image processing algorithm is studied. And then The monocular vision experimental system is established. Experimental results show that the translational positioningrnaccuracy reaches ±0.05mm and rotary positioning accuracy reaches ±0.2°.
机译:物体的位置和方向估计可以广泛应用于机器人导航,手术,电光瞄准系统等领域,具有重要的价值。研究了基于点特征的单眼视觉定位算法,提出了一种新的测量方法。首先,根据weakp3p,计算出五个参考点的近似坐标,作为相机坐标系中的迭代初始值。其次,利用参考点的约束关系,通过迭代计算得到摄像机坐标系中参考点的精确坐标;最后,获取对象的位置和方向。因此,构建了单眼视觉测量模型。为了验证测量模型的准确性,设计了以红外LED为参考点的平面目标,完成了测量方法的验证,并研究了相应的图像处理算法。然后建立了单眼视觉实验系统。实验结果表明,平移定位精度达到±0.05mm,旋转定位精度达到±0.2°。

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