WISHED: Wavefront imaging sensor with high resolution and depth ranging

Yicheng Wu, Fengqiang Li, Florian Willomitzer, Ashok Veeraraghavan*, Oliver Cossairt

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Phase-retrieval based wavefront sensors have been shown to reconstruct the complex field from an object with a high spatial resolution. Although the reconstructed complex field encodes the depth information of the object, it is impractical to be used as a depth sensor for macroscopic objects, since the unambiguous depth imaging range is limited by the optical wavelength. To improve the depth range of imaging and handle depth discontinuities, we propose a novel three-dimensional sensor by leveraging wavelength diversity and wavefront sensing. Complex fields at two optical wavelengths are recorded, and a synthetic wavelength can be generated by correlating those wavefronts. The proposed system achieves high lateral and depth resolutions. Our experimental prototype shows an unambiguous range of more than 1,000 x larger compared with the optical wavelengths, while the depth precision is up to 9μm for smooth objects and up to 69μm for rough objects. We experimentally demonstrate 3D reconstructions for transparent, translucent, and opaque objects with smooth and rough surfaces.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Computational Photography, ICCP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728152301
DOIs
StatePublished - Apr 2020
Event2020 IEEE International Conference on Computational Photography, ICCP 2020 - Saint Louis, United States
Duration: Apr 24 2020Apr 26 2020

Publication series

NameIEEE International Conference on Computational Photography, ICCP 2020

Conference

Conference2020 IEEE International Conference on Computational Photography, ICCP 2020
CountryUnited States
CitySaint Louis
Period4/24/204/26/20

Keywords

  • 3D imaging
  • Phase retrieval
  • Wavefront sensing
  • Wavelength diversity

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • Media Technology
  • Instrumentation

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