Automatic Differentiation for All Photons Imaging to See Inside Volumetric Scattering Media

TL;DR

This paper introduces a novel automatic differentiation framework for All Photons Imaging, enabling non-invasive, calibration-free imaging through dense scattering media like biological tissue, fog, and smoke.

Contribution

It presents a new method that allows imaging through turbid media without prior calibration or knowledge of optical properties, simplifying the process.

Findings

Enables imaging without target visibility to illumination source

Does not require calibration of sensor position or media properties

Works through homogeneous scattering media with unknown optical properties

Abstract

Imaging through dense scattering media - such as biological tissue, fog, and smoke - has applications in the medical and robotics fields. We propose a new framework using automatic differentiation for All Photons Imaging through homogeneous scattering media with unknown optical properties for non-invasive sensing and diagnostics. We overcome the need for the imaging target to be visible to the illumination source in All Photons Imaging, enabling practical and non-invasive imaging through turbid media with a simple optical setup. Our method does not require calibration to acquire the sensor position or optical properties of the media.