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Self-Calibration Technique Based on Hand-Eye Vision Systems

机译:基于手眼视觉系统的自校准技术

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A flexible valid self-calibration technique for robotics hand-eye systems is proposed. It is not necessary to disjoin the camera intrinsic parameter matrix and the orientation matrix, so they can be obtained as a "black-box", where every parameter of every part needn''t be computed, thus the computation cost and the error are both depressed. In the process of calibration, the known reference objection isn''t needed, and it only requires the camera to observe images from couple arbitrary reference points at four (or more) pure translational motions and two (or more) random motions with revolving, respectively, thus the proposed self-calibration of hand-eye systems is implemented, where the motion times is decided according to the given criterion. Furthermore, there is no restriction to the installation and the motion direction of the camera, so the proposed technique is easy to use and flexible.
机译:提出了一种灵活的有效自校准技术,用于机器人手眼系统。没有必要分解相机内在参数矩阵和方向矩阵,因此可以获得它们作为“黑匣子”,其中每个部分的每个参数都不被计算,因此计算成本和错误是都沮丧。在校准过程中,已知的参考反对意见是不需要的,并且它只需要相机以四(或更多)纯的翻译动作和两个(或更多)随机动作,从夫妇任意参考点观察来自夫妇任意参考点的图像。因此,实现了手眼系统的所提出的自校准,其中根据给定的标准确定运动时间。此外,对相机的安装和运动方向没有限制,因此所提出的技术易于使用和灵活。

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