Chromaticity Based Local Linear Regression for Color Distortion Estimation of Optical See-Through Displays

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

doi:10.1109/ISMAR-Adjunct.2016.0064

Chromaticity Based Local Linear Regression for Color Distortion Estimation of Optical See-Through Displays

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

School of Electrical Engineering

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

4 Citations (Scopus)

Abstract

Optical See-Through displays (OST Displays) require the appearance of the virtual content to closely resemble that of the real world. However, current OST displays typically show color distortion due to hardware limitations. To overcome this problem, we propose a chromaticity based local linear regression model for color distortion estimation of OST displays. From our initial experiments, it was observed that local samples with similar chromaticity can be modeled more linearly rather than simple nearest neighbors in a color space. We argue that the accuracy of local linear regression can be further improved by placing emphasis on similarity of chromaticity. Experimental results showed that the proposed chromaticity based color correction achieves higher accuracy compared to the nearest neighbor method, for any training set size or neighborhood size as well as global regression. It confirms that chromaticity based nearest neighbors can be modeled more linearly together than simple nearest neighbors in a color space.

Original language	English
Title of host publication	Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	151-153
Number of pages	3
ISBN (Electronic)	9781509037407
DOIs	https://doi.org/10.1109/ISMAR-Adjunct.2016.0064
Publication status	Published - 2017 Jan 30
Event	15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016 - Merida, Yucatan, Mexico Duration: 2016 Sept 18 → 2016 Sept 23

Other

Other	15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
Country/Territory	Mexico
City	Merida, Yucatan
Period	16/9/18 → 16/9/23

Keywords

augmented reality
color correction
color distortion model
local linear regression
OST Display

ASJC Scopus subject areas

Computer Science Applications
Human-Computer Interaction
Media Technology
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/ISMAR-Adjunct.2016.0064

Cite this

Lee, K. K., Kim, J. W., Ryu, J. H., & Kim, J-O. (2017). Chromaticity Based Local Linear Regression for Color Distortion Estimation of Optical See-Through Displays. In Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016 (pp. 151-153). Article 7836485 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMAR-Adjunct.2016.0064

Chromaticity Based Local Linear Regression for Color Distortion Estimation of Optical See-Through Displays. / Lee, Kang Kyu; Kim, Jae Woo; Ryu, Je Ho et al.
Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 151-153 7836485.

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

Lee, KK, Kim, JW, Ryu, JH & Kim, J-O 2017, Chromaticity Based Local Linear Regression for Color Distortion Estimation of Optical See-Through Displays. in Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016., 7836485, Institute of Electrical and Electronics Engineers Inc., pp. 151-153, 15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016, Merida, Yucatan, Mexico, 16/9/18. https://doi.org/10.1109/ISMAR-Adjunct.2016.0064

Lee KK, Kim JW, Ryu JH, Kim J-O. Chromaticity Based Local Linear Regression for Color Distortion Estimation of Optical See-Through Displays. In Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 151-153. 7836485 doi: 10.1109/ISMAR-Adjunct.2016.0064

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AB - Optical See-Through displays (OST Displays) require the appearance of the virtual content to closely resemble that of the real world. However, current OST displays typically show color distortion due to hardware limitations. To overcome this problem, we propose a chromaticity based local linear regression model for color distortion estimation of OST displays. From our initial experiments, it was observed that local samples with similar chromaticity can be modeled more linearly rather than simple nearest neighbors in a color space. We argue that the accuracy of local linear regression can be further improved by placing emphasis on similarity of chromaticity. Experimental results showed that the proposed chromaticity based color correction achieves higher accuracy compared to the nearest neighbor method, for any training set size or neighborhood size as well as global regression. It confirms that chromaticity based nearest neighbors can be modeled more linearly together than simple nearest neighbors in a color space.

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Chromaticity Based Local Linear Regression for Color Distortion Estimation of Optical See-Through Displays

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