Data-Driven Non-Line-of-Sight Imaging

Abstract

Recent research trends in non?line?of?sight (“NLOS”) imaging have shown interesting acquisition and reconstruction modalities. However, as in most computational imaging techniques, these methods usually remain in the lab and are hard to scale to real?world applications. Our goal is to enable NLOS imaging in the wild by incorporating data?driven techniques that have been a key enabler in scaling traditional challenging computer vision tasks to real?world applications.

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 17, 2018
Source ID
N000141812894

Entities

People

  • Ramesh Raskar

Organizations

  • Massachusetts Institute of Technology
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML