Polarization multiplexing and demultiplexing for appearance-based modeling

Oana G. Cula, Kristin J. Dana, Dinesh K. Pai, Dongsheng Wang

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Polarization has been used in numerous prior studies for separating diffuse and specular reflectance components, but in this work we show that it also can be used to separate surface reflectance contributions from individual light sources. Our approach is called polarization multiplexing and it has a significant impact in appearance modeling where the image as a function of illumination direction is needed. Multiple unknown light sources can illuminate the scene simultaneously, and the individual contributions to the overall surface reflectance are estimated. Polarization multiplexing relies on the relationship between the light source direction and the intensity modulation. Inverting this transformation enables the individual intensity contributions to be estimated. In addition to polarization multiplexing, we show that phase histograms from the intensity modulations can be used to estimate scene properties including the number of light sources.

Original languageEnglish (US)
Pages (from-to)362-367
Number of pages6
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume29
Issue number2
DOIs
StatePublished - Feb 2007

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

Keywords

  • Appearance
  • Appearance-based modeling
  • Body reflectance
  • Diffuse reflectance
  • Multiplexing
  • Polarization
  • Reflectance
  • Specular reflectance
  • Surface reflectance

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