Colorimetric background estimation for color blending reduction of OST-HMD

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

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

4 Citations (Scopus)

Abstract

In an augmented reality scenario, the perceived image of OST-HMD contains color distortion due to background color blending. In order to reduce color blending, accurate estimation of background color is necessary. In this paper, we perform colorimetric estimation of background using camera images, via local linear regression. Using the estimated background color, virtual image is compensated. Experimental results show that the proposed colorimetric background estimation closely estimates the background color within an error of 1.635 degrees, and that the color blending reduction error typically falls under 5 degrees in most cases.

Original languageEnglish
Title of host publication2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789881476821
DOIs
Publication statusPublished - 2017 Jan 17
Event2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 - Jeju, Korea, Republic of
Duration: 2016 Dec 132016 Dec 16

Other

Other2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
CountryKorea, Republic of
CityJeju
Period16/12/1316/12/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Signal Processing

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  • Cite this

    Ryu, J. H., Kim, J. W., Lee, K. K., & Kim, J-O. (2017). Colorimetric background estimation for color blending reduction of OST-HMD. In 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 [7820764] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2016.7820764