Non-planar target for multi-camera network calibration

E. Shen, G. Peter K. Carr, P. Thomas, R. Hornsey
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引用次数: 6

Abstract

Rapid calibration of multi-camera systems using planar targets is typically impractical. Here we report a non-planar target for rapid calibration of inward-looking visual sensor networks (VSNs), designed using a novel VSN simulator and verified experimentally. The target consists of a large central sphere, surrounded by several smaller, rigidly mounted spheres. Rotation about an axis through the center of this sphere changes the location of the outer spheres, while keeping a fixed reference point in the center to permit extrinsic parameter extraction. Using the simulation, different target configurations are tested for field-of-view (FOV) coverage for each camera. Experimental results using a constructed operational prototype are consistent with traditional planar target calibrations, but require only a single view of the target to extract the intrinsic parameters.
多摄像机网络非平面目标标定
使用平面目标的多相机系统的快速校准通常是不切实际的。本文报道了一种用于快速校准内视视觉传感器网络(VSNs)的非平面目标,该目标使用一种新型的VSN模拟器设计并进行了实验验证。目标由一个大的中心球体组成,周围环绕着几个较小的、固定的球体。通过球体的中心绕轴旋转会改变外球体的位置,同时在中心保持一个固定的参考点,以允许提取外部参数。通过仿真,对每个摄像机的不同目标配置进行了视场(FOV)覆盖测试。实验结果与传统的平面目标标定结果一致,但只需要对目标进行单视角标定即可提取其固有参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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