Automatic Differentiation for All Photons Imaging to See Inside Volumetric Scattering Media
This addresses a problem in medical and robotics fields for non-invasive imaging through turbid media, but it appears incremental as it builds on All Photons Imaging with a new computational approach.
The paper tackles imaging through dense scattering media like biological tissue or fog by proposing a new framework using automatic differentiation for All Photons Imaging, enabling non-invasive sensing without requiring calibration for sensor position or optical properties.
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.