Event-based dual photography for transparent scene reconstruction

Xiaomeng Liu, Joshua D. Rego, Suren Jayasuriya, Sanjeev J. Koppal

Research output: Contribution to journalArticlepeer-review


Light transport contains all light information between a light source and an image sensor. As an important application of light transport, dual photography has been a popular research topic, but it is challenged by long acquisition time, low signal-to-noise ratio, and the storage or processing of a large number of measurements. In this Letter, we propose a novel hardware setup that combines a flying-spot micro-electro mechanical system (MEMS) modulated projector with an event camera to implement dual photography for 3D scanning in both line-of-sight (LoS) and non-line-of-sight (NLoS) scenes with a transparent object. In particular, we achieved depth extraction from the LoS scenes and 3D reconstruction of the object in a NLoS scene using event light transport.

Original languageEnglish (US)
Pages (from-to)1304-1307
Number of pages4
JournalOptics Letters
Issue number5
StatePublished - Mar 1 2023
Externally publishedYes

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


Dive into the research topics of 'Event-based dual photography for transparent scene reconstruction'. Together they form a unique fingerprint.

Cite this