Recent Advances in Imaging Around Corners

TL;DR

This paper reviews recent progress in non-line-of-sight imaging techniques, highlighting challenges and potential for real-world applications outside laboratory settings.

Contribution

It provides a comprehensive overview of existing NLOS imaging methods and discusses key challenges for practical deployment.

Findings

Various NLOS imaging techniques are summarized

Challenges for outdoor and real-world applications are identified

The review aims to guide future research directions

Abstract

Seeing around corners, also known as non-line-of-sight (NLOS) imaging is a computational method to resolve or recover objects hidden around corners. Recent advances in imaging around corners have gained significant interest. This paper reviews different types of existing NLOS imaging techniques and discusses the challenges that need to be addressed, especially for their applications outside of a constrained laboratory environment. Our goal is to introduce this topic to broader research communities as well as provide insights that would lead to further developments in this research area.