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

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

doi:10.1145/2993369.2993406

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

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

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 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 language	English
Title of host publication	Proceedings - VRST 2016: 22nd ACM Conference on Virtual Reality Software and Technology
Publisher	Association for Computing Machinery
Pages	11-14
Number of pages	4
Volume	02-04-November-2016
ISBN (Electronic)	9781450344913
DOIs	https://doi.org/10.1145/2993369.2993406
Publication status	Published - 2016 Nov 2
Event	22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016 - Munich, Germany Duration: 2016 Nov 2 → 2016 Nov 4

Other

Other	22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016
Country/Territory	Germany
City	Munich
Period	16/11/2 → 16/11/4

Keywords

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

ASJC Scopus subject areas

Software

Access to Document

10.1145/2993369.2993406

Cite this

Localized color correction for optical see-through displays via weighted linear regression. / Kim, Jae Woo; Lee, Kang Kyu; Ryu, Je Ho et al.

Proceedings - VRST 2016: 22nd ACM Conference on Virtual Reality Software and Technology. Vol. 02-04-November-2016 Association for Computing Machinery, 2016. p. 11-14.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, JW, Lee, KK, Ryu, JH & Kim, J-O 2016, Localized color correction for optical see-through displays via weighted linear regression. in Proceedings - VRST 2016: 22nd ACM Conference on Virtual Reality Software and Technology. vol. 02-04-November-2016, Association for Computing Machinery, pp. 11-14, 22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016, Munich, Germany, 16/11/2. https://doi.org/10.1145/2993369.2993406

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title = "Localized color correction for optical see-through displays via weighted linear regression",

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.",

keywords = "CIE XYZ color space, Color distortion correction, Gamut mapping, Local linear regression, OST-HMD",

author = "Kim, {Jae Woo} and Lee, {Kang Kyu} and Ryu, {Je Ho} and Jong-Ok Kim",

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doi = "10.1145/2993369.2993406",

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AU - Kim, Jae Woo

AU - Lee, Kang Kyu

AU - Ryu, Je Ho

AU - Kim, Jong-Ok

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N2 - 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.

AB - 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.

KW - CIE XYZ color space

KW - Color distortion correction

KW - Gamut mapping

KW - Local linear regression

KW - OST-HMD

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

Abstract

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Keywords

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