Recent Advances in Imaging Around Corners
It addresses the problem of imaging hidden objects around corners for researchers, but is incremental as it reviews existing methods without presenting new results.
This paper reviews existing non-line-of-sight imaging techniques and discusses challenges for applications outside constrained laboratory environments, aiming to introduce the topic to broader research communities and provide insights for further development.
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.