Localized color correction for optical see-through displays via weighted linear regression

Jae Woo Kim, Kang Kyu Lee, Je Ho Ryu, Jong-Ok Kim

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

6 Citations (Scopus)

Abstract

Visual consistency in augmented reality displays requires truthful color reproduction of virtual images. However, the color distortion of Optical See-Through Displays hinders truthful color reproduction. We propose a color correction method for Optical See-Through Displays with three contributions. First, we handle non-linearity of color distortion by localized regression. Second, we model the color distortion in CIE XYZ domain, a device-independent representation of color, based on color measurements. This supports the locally linear modeling of color distortion. Finally, we introduce Hue-constrained gamut mapping for color correction. Experimental results validate the three contributions by showing critically meaningful performance gain.

Original languageEnglish
Title of host publicationProceedings - VRST 2016: 22nd ACM Conference on Virtual Reality Software and Technology
PublisherAssociation for Computing Machinery
Pages11-14
Number of pages4
Volume02-04-November-2016
ISBN (Electronic)9781450344913
DOIs
Publication statusPublished - 2016 Nov 2
Event22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016 - Munich, Germany
Duration: 2016 Nov 22016 Nov 4

Other

Other22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016
CountryGermany
CityMunich
Period16/11/216/11/4

Keywords

  • CIE XYZ color space
  • Color distortion correction
  • Gamut mapping
  • Local linear regression
  • OST-HMD

ASJC Scopus subject areas

  • Software

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