一种新的高精度姿态计算相机模型

A. Ryberg, Anna-Karin Christiansson, K. Eriksson, B. Lennartson
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引用次数: 7

摘要

一个位置和方向(姿态)测量系统正在开发中。这个名为PosEye的系统基于一台相机,通过使用图像中的信息,可以计算出拍摄图像的相机的姿势。该系统旨在安装在工业机器人上进行焊接,但它很灵活,也可以用于许多其他应用。对其精度进行了测量,认为在焊接应用中精度还有待提高。为了进行位姿测量,在工作区域内分布图像中可识别的参考点。相机模型中参考点的位置和参数最初是根据从多个方向到参考点的样本图像自动计算的。在此校准之后,可以在每个样本图像上计算姿态。为了获得较高的精度,需要有一个考虑多种失真效应的相机模型,本文对此进行了进一步的研究。新模型用于表达一个优化成本函数,该函数既可用于姿态计算,也可用于广泛的校准,确定相机模型中的相机参数和参考点的位置
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A new Camera Model for Higher Accuracy Pose Calculations
A position and orientation (pose) measurement system is being developed. The system, called PosEye, is based on a camera and by using the information in the image, the pose of the camera taking the image can be calculated. The system is aimed to be placed on an industrial robot for welding, but it is flexible and can also be used in many other applications. The accuracy has been measured, and it is concluded that the accuracy needs to be improved for welding applications. To make the pose measurement, reference points, that can be recognized in the image, are distributed in the working area. The positions of the reference points and the parameters in a camera model are initially computed automatically from sample images from a number of directions to the reference points. After this calibration, the pose can be calculated at each sample image. For high accuracy there is a need to have a camera model that takes into account a number of distortion effects, which are further developed in this paper. The new model is used to express an optimization cost function that can be used for both the pose calculation, and the extensive calibration, that determines camera parameters in the camera model and the positions of the reference points
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