论文标题
看到边缘分辨的瞬态成像在角落周围
Seeing Around Corners with Edge-Resolved Transient Imaging
论文作者
论文摘要
非线视线（NLOS）成像是一个快速增长的领域，试图在视野外形成对象的图像，并在搜索和救援，侦察甚至医学成像中使用潜在的应用。 NLOS成像的关键挑战是，弥漫性反射在各个方向上散布光，从而导致信号较弱和方向信息丢失。为了解决这个问题，我们提出了一种观察到角落的方法，该方法是从垂直边缘和纵向分辨率从脉冲光源的时间响应中得出角度分辨率的。我们介绍了一种采集策略，场景响应模型和重建算法，该算法能够形成2.5维表示形式 - 计划视图加上高度 - 以及一个180 $^{\ circ} $视图（FOV）（FOV）（fov）。我们的实验证明了每个维度最多3米的隐藏房间的准确重建。
Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in search and rescue, reconnaissance, and even medical imaging. The critical challenge of NLOS imaging is that diffuse reflections scatter light in all directions, resulting in weak signals and a loss of directional information. To address this problem, we propose a method for seeing around corners that derives angular resolution from vertical edges and longitudinal resolution from the temporal response to a pulsed light source. We introduce an acquisition strategy, scene response model, and reconstruction algorithm that enable the formation of 2.5-dimensional representations -- a plan view plus heights -- and a 180$^{\circ}$ field of view (FOV) for large-scale scenes. Our experiments demonstrate accurate reconstructions of hidden rooms up to 3 meters in each dimension.
