论文标题
视觉热相机数据集发布和多模式对齐，而无需校准信息
Visual-Thermal Camera Dataset Release and Multi-Modal Alignment without Calibration Information
论文作者
论文摘要
该报告伴随着视觉和热相机数据的数据集释放，并详细介绍了一个过程，然后将此类多模式摄像机帧对齐，以便在两者之间提供像素级的对应关系，而无需使用固有或外部校准信息。为了实现这一目标，我们受益于多模式图像对齐领域的进展，并专门采用哑光互信息指标来指导注册过程。在发布的数据集中，我们释放了原始的视觉和热摄像头数据以及对齐的框架，以及校准参数，其目标是更好地促进此类多模式图像流的共同本地/全局特征的调查。
This report accompanies a dataset release on visual and thermal camera data and details a procedure followed to align such multi-modal camera frames in order to provide pixel-level correspondence between the two without using intrinsic or extrinsic calibration information. To achieve this goal we benefit from progress in the domain of multi-modal image alignment and specifically employ the Mattes Mutual Information Metric to guide the registration process. In the released dataset we release both the raw visual and thermal camera data, as well as the aligned frames, alongside calibration parameters with the goal to better facilitate the investigation on common local/global features across such multi-modal image streams.
