Reconstruction of multiple non-line-of-sight objects using back projection based on ellipsoid mode decomposition

TL;DR

This paper introduces a novel back-projection method using ellipsoid mode decomposition to improve the reconstruction of multiple hidden objects in non-line-of-sight imaging, effectively reducing aliasing artifacts.

Contribution

The proposed method decomposes ellipsoids into clusters for individual object reconstruction, advancing non-line-of-sight imaging by handling multiple objects more accurately.

Findings

Effectively reduces aliasing artifacts in reconstructions.

Successfully separates and locates multiple hidden objects.

Demonstrates advantages in complex scene reconstruction.

Abstract

Non-line-of-sight imaging has attracted more attentions for its wide applications.Even though ultrasensitive cameras or detectors with high time-resolution are available, current back-projection methods are still powerless to acquire a satisfying reconstruction of multiple hidden objects due to severe aliasing artifacts. Here, a novel back-projection method is developed to reconstruct multiple hidden objects. Our method considers decomposing all the ellipsoids in a confidence map into several clusters belonging to different objects (namely ellipsoid mode decomposition), and then reconstructing the objects individually from their ellipsoid modes by filtering and thresholding, respectively. Importantly, the simulated and experimental results demonstrate that this method can effectively eliminate the impacts of aliasing artifacts and exhibits potential advantages in separating, locating and recovering multiple hidden objects, which might be a good base for reconstructing complex non-line-ofsight scenes.