A precise calibration in multi-view camera environments allows to perform accurate 3D object reconstruction, precise tracking of objects and accurate pose estimation. Those techniques are of high value in the industry today in fields as quality control or automation. In the present work, an improvement of a simple existing multi-view camera calibration method is presented. The improved method employs a specially developed reference token to overcome some issues in the original algorithm. We prove that the new method overcomes those problems thus attaining a higher accuracy while keeping the process simple and the implementation costs low. This last aspects makes the method interesting for the industry but specially suitable for SMEs typical in traditional sectors.

在多视图相机环境中进行精确校准可以执行准确的3D对象重建，对象的精确跟踪和准确的姿势估计。这些技术在当今行业中的质量控制或自动化领域具有很高的价值。在当前的工作中，提出了一种简单的现有的多视点摄像机校准方法的改进。改进的方法使用专门开发的参考令牌来克服原始算法中的某些问题。我们证明了该新方法克服了这些问题，从而在保持过程简单和实现成本较低的同时，获得了更高的精度。这最后的方面使该方法对于行业来说很有趣，但是特别适合于传统部门中的典型中小企业。