论文标题
基于SDF的RGB-D相机跟踪在神经场景表示中
SDF-based RGB-D Camera Tracking in Neural Scene Representations
论文作者
论文摘要
我们考虑在神经场景表示中跟踪移动的RGB-D相机的6D姿势的问题。最近出现了这种不同的表示形式，我们研究了它们对于相机跟踪任务的适用性。特别是，我们建议使用符号距离字段的表示形式跟踪RGB-D摄像机，并显示与基于密度的表示相比，可以加速跟踪，这可以在计算时间限制时更稳健，更准确的姿势估计。
We consider the problem of tracking the 6D pose of a moving RGB-D camera in a neural scene representation. Different such representations have recently emerged, and we investigate the suitability of them for the task of camera tracking. In particular, we propose to track an RGB-D camera using a signed distance field-based representation and show that compared to density-based representations, tracking can be sped up, which enables more robust and accurate pose estimates when computation time is limited.
