Non-parametric acquisition of near-dirac pixel correspondences

Bradley Atcheson*, Wolfgang Heidrich

*Corresponding author for this work

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

1 Scopus citations

Abstract

Many computer vision and graphics applications require the acquisition of correspondences between the pixels of a 2D illumination pattern and those of captured 2D photographs. Trivial cases with only one-to-one correspondences require only a few measurements. In more general scenes containing complex inter-reflections, capturing the full reflectance field requires more extensive sampling and complex processing schemes. We present a method that addresses the middle-ground: scenes where each pixel maps to a small, compact set of pixels that cannot easily be modeled parametrically. The coding method is based on optically-constructed Bloom filters and frequency coding. It is non-adaptive, allowing fast acquisition, robust to measurement noise, and can be decoded with only moderate computational power. It requires fewer measurements and scales up to higher resolutions more efficiently than previous methods.

Original languageEnglish (US)
Title of host publicationVISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
Pages247-254
Number of pages8
StatePublished - Jun 15 2012
EventInternational Conference on Computer Vision Theory and Applications, VISAPP 2012 - Rome, Italy
Duration: Feb 24 2012Feb 26 2012

Publication series

NameVISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
Volume2

Other

OtherInternational Conference on Computer Vision Theory and Applications, VISAPP 2012
CountryItaly
CityRome
Period02/24/1202/26/12

Keywords

  • Bloom filter
  • Environment matting
  • Pixel correspondences
  • Structured light

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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