Event-based Dual Photography for Transparent Scene Reconstruction

  • Xiaomeng Liu (Contributor)
  • Joshua Rego (Creator)
  • Suren Jayasuriya (Creator)
  • Sanjeev Koppal (Creator)
  • Xiaomeng Liu (Creator)

Dataset

Description

Light transport contains all light information between the light source and the 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 storage/processing of a large number of measurements. In this paper, we propose a novel hardware setup that combines a flying-spot 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. Particularly, we achieved depth extraction from the LoS scenes and 3D reconstruction of the object in a NLoS scene using event light transport.
Date made available2023
PublisherOptica Publishing Group

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