Seeing around corners with edge-resolved transient imaging

Abstract

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 autonomous navigation, 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∘ field of view for large-scale scenes. Our experiments demonstrate accurate reconstructions of hidden rooms up to 3 meters in each dimension despite a small scan aperture (1.5-centimeter radius) and only 45 measurement locations.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 23, 2020
Source ID
10.1038/s41467-020-19727-4

Entities

People

  • Charles Saunders
  • Franco N. C. Wong
  • Jean-yves Tourneret
  • John Murray-Bruce
  • Joshua Rapp
  • Julián Tachella
  • Robin M A Dawson
  • Stephen McLaughlin
  • Vivek K Goyal
  • Yoann Altmann

Organizations

  • Charles Stark Draper Laboratory
  • Engineering and Physical Sciences Research Council
  • National Science Foundation
  • Royal Academy of Engineering
  • United States Department of Defense

Tags

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Radio communications and signal processing.