论文标题

热合成孔可视化的快速自动可见性优化

Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

论文作者

Kurmi, Indrajit, Schedl, David C., Bimber, Oliver

论文摘要

在本文中,我们描述并验证了第一个全自动参数优化,以实现热合成孔径可视化。它取代了对参数空间的先前手动探索,该探索容易耗时和错误。我们证明,热积图像中目标的可见性与目标图像的方差成正比。由于这是遮挡不变的,因此代表了一个合适的目标函数以进行优化。我们的发现有可能通过相机无人机实现完全自主的搜索和撤回操作。

In this article, we describe and validate the first fully automatic parameter optimization for thermal synthetic aperture visualization. It replaces previous manual exploration of the parameter space, which is time consuming and error prone. We prove that the visibility of targets in thermal integral images is proportional to the variance of the targets' image. Since this is invariant to occlusion it represents a suitable objective function for optimization. Our findings have the potential to enable fully autonomous search and recuse operations with camera drones.

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