In situ target-less calibration of turbid media

Ori Spier, Tali Treibitz, Guy Gilboa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The color of an object imaged in a turbid medium varies with distance and medium properties, deeming color an unstable source of information. Assuming 3D scene structure has become relatively easy to estimate, the main challenge in color recovery is calibrating medium properties in situ, at the time of acquisition. Existing attenuation calibration methods use either color charts, external hardware, or multiple images of an object. Here we show none of these is needed for calibration. We suggest a method for estimating the medium properties (both attenuation and scattering) using only images of backscattered light from the system's light sources. This is advantageous in turbid media where the object signal is noisy, and also alleviates the need for correspondence matching, which can be difficult in high turbidity. We demonstrate the advantages of our method through simulations and in a real-life experiment at sea.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509057450
DOIs
StatePublished - 16 Jun 2017
Event2017 IEEE International Conference on Computational Photography, ICCP 2017 - Stanford, United States
Duration: 12 May 201714 May 2017

Publication series

Name2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings

Conference

Conference2017 IEEE International Conference on Computational Photography, ICCP 2017
Country/TerritoryUnited States
CityStanford
Period12/05/1714/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

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