利用光子回波重建房间:一种基于平面的模型和用于寻找角落的重建算法

A. Pediredla, M. Buttafava, A. Tosi, O. Cossairt, A. Veeraraghavan
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引用次数: 51

摘要

如果我们能直接观察到的只是一堵内墙的一小部分,比如通过房间的窗户,我们能重建一个房间的整个内部形状吗?虽然传统智慧可能表明这是不可能的,但受到最近“环顾角落”工作的启发,我们表明人们可以利用光回波来重建隐藏房间的内部形状。现有的使用瞬态图像寻找角落的技术使用体素对隐藏体建模,并试图将捕获的瞬态响应解释为从单个体素获得的瞬态响应的总和。这种技术固有地受到低信号与背景比(SBR)的挑战,并且难以扩展到更大的体积。相比之下,在本文中,我们主张使用基于平面的模型来隐藏表面。我们证明了这种基于平面的模型可以获得更高的SBR,同时适用于更大的空间尺度。我们建立了一个由脉冲激光源和单光子雪崩探测器(SPAD)组成的实验原型,该原型可以实现约30ps的时间分辨率,并演示了隐藏体中单个平面的高保真重建以及由多个平面壁组成的整个多边形房间的重建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconstructing rooms using photon echoes: A plane based model and reconstruction algorithm for looking around the corner
Can we reconstruct the entire internal shape of a room if all we can directly observe is a small portion of one internal wall, presumably through a window in the room? While conventional wisdom may indicate that this is not possible, motivated by recent work on ‘looking around corners’, we show that one can exploit light echoes to reconstruct the internal shape of hidden rooms. Existing techniques for looking around the corner using transient images model the hidden volume using voxels and try to explain the captured transient response as the sum of the transient responses obtained from individual voxels. Such a technique inherently suffers from challenges with regards to low signal to background ratios (SBR) and has difficulty scaling to larger volumes. In contrast, in this paper, we argue for using a plane-based model for the hidden surfaces. We demonstrate that such a plane-based model results in much higher SBR while simultaneously being amenable to larger spatial scales. We build an experimental prototype composed of a pulsed laser source and a single-photon avalanche detector (SPAD) that can achieve a time resolution of about 30ps and demonstrate high-fidelity reconstructions both of individual planes in a hidden volume and for reconstructing entire polygonal rooms composed of multiple planar walls.
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