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Dynamic heterodyne interferometry

Tomohiro Maeda, Achuta Kadambi, Yoav Y. Schechner, Ramesh Raskar

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

Abstract

Dynamic interferometry enables snapshot recovery of phase images by using polarization phase shifting. However, the phase estimate is susceptible to influence from sources of ambient light having uncontrolled polarization. We present a novel method, dynamic heterodyne interferometry (DHI), as a means to mitigate phase bias from ambient light sources, while retaining dynamic potential.

Original languageEnglish
Title of host publicationIEEE International Conference on Computational Photography, ICCP 2018
Pages1-11
Number of pages11
ISBN (Electronic)9781538625262
DOIs
StatePublished - 29 May 2018
Event2018 IEEE International Conference on Computational Photography, ICCP 2018 - Pittsburgh, United States
Duration: 4 May 20186 May 2018

Publication series

NameIEEE International Conference on Computational Photography, ICCP 2018

Conference

Conference2018 IEEE International Conference on Computational Photography, ICCP 2018
Country/TerritoryUnited States
CityPittsburgh
Period4/05/186/05/18

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computational Mathematics
  • Atomic and Molecular Physics, and Optics

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