3D reconstructions from spectral light fields

Vladimir Farber, Yaniv Oiknine, Isaac August, Adrian Stern

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


The parametrization of light rays in form of light fields (LF) have become the standard and probably the most common way for the representation, analysis and processing of rays emitted from 3D objects or from 3D displays. Essentially, the LFs are 4D maps representing the spatial and angular distribution of the intensity of the rays. Nowadays, with the increasing availability of spectral imagers, the conventional LF can be augmented with the spectral information, yielding to what we call spectral light fields (SLFs). Spectral light fields refer to a 5D distribution of spatial, angular and spectral ray's distribution. Thus, the SLF can be viewed as spectral radiance over a 2D manifold, or as 5D parameterization of a plenoptic function. In this paper we show the utility of the SLFs for digital 3D reconstruction. We show that the additional spectral domain provides important information that can be utilized to overcome 3D reconstruction artefacts caused by ambiguities in commonly captured LFs. We demonstrate the utilization of the SLFs for profilomety and refocusing.

Original languageAmerican English
Title of host publicationThree-Dimensional Imaging, Visualization, and Display 2018
EditorsBahram Javidi, Osamu Matoba, Jung-Young Son, Manuel Martinez-Corral, Adrian Stern
ISBN (Print)9781510618435
StatePublished - 1 Jan 2018
EventThree-Dimensional Imaging, Visualization, and Display 2018 - Orlando, United States
Duration: 16 Apr 201817 Apr 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering


ConferenceThree-Dimensional Imaging, Visualization, and Display 2018
Country/TerritoryUnited States


  • 3D imaging
  • Hyperspectral imaging
  • Integral imaging
  • Light field
  • Profilometry
  • Refocusing
  • Spectral light field

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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