论文标题
通过手眼约束的概括对多观点摄像机进行准确校准
Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraint
论文作者
论文摘要
在智能车辆以及虚拟或增强现实等许多应用中，多人相机迅速变得越来越重要。但是，在相邻的视野中，系统尺寸较大或没有重叠通常会使它们的校准变得复杂。我们提出了一种新颖的解决方案，该解决方案依赖于外部运动捕获系统的可用性。我们的核心贡献包括对手眼校准问题的扩展，该问题共同解决了封闭形式的多眼至基准问题。我们进一步证明了它与多眼问题的等效性。我们的方法的实际有效性得到了我们的实验支持，表明该方法高效且准确，并且表现优于现有的封闭式替代方案。
Multi-perspective cameras are quickly gaining importance in many applications such as smart vehicles and virtual or augmented reality. However, a large system size or absence of overlap in neighbouring fields-of-view often complicate their calibration. We present a novel solution which relies on the availability of an external motion capture system. Our core contribution consists of an extension to the hand-eye calibration problem which jointly solves multi-eye-to-base problems in closed form. We furthermore demonstrate its equivalence to the multi-eye-in-hand problem. The practical validity of our approach is supported by our experiments, indicating that the method is highly efficient and accurate, and outperforms existing closed-form alternatives.
