Non-line-of-sight imaging with partial occluders and surface normals

Felix Heide, Matthew O'Toole, Kai Zang, David B. Lindell, Steven Diamond, Gordon Wetzstein

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Imaging objects obscured by occluders is a significant challenge for many applications. A camera that could “see around corners” could help improve navigation and mapping capabilities of autonomous vehicles or make search and rescue missions more effective. Time-resolved single-photon imaging systems have recently been demonstrated to record optical information of a scene that can lead to an estimation of the shape and reflectance of objects hidden from the line of sight of a camera. However, existing non-line-of-sight (NLOS) reconstruction algorithms have been constrained in the types of light transport effects they model for the hidden scene parts. We introduce a factored NLOS light transport representation that accounts for partial occlusions and surface normals. Based on this model, we develop a factorization approach for inverse time-resolved light transport and demonstrate high-fidelity NLOS reconstructions for challenging scenes both in simulation and with an experimental NLOS imaging system.
Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalACM Transactions on Graphics
Volume38
Issue number3
DOIs
StatePublished - May 9 2019
Externally publishedYes

Fingerprint

Dive into the research topics of 'Non-line-of-sight imaging with partial occluders and surface normals'. Together they form a unique fingerprint.

Cite this