Colorimetric background estimation for color blending reduction of OST-HMD

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

doi:10.1109/APSIPA.2016.7820764

Colorimetric background estimation for color blending reduction of OST-HMD

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

School of Electrical Engineering

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

7 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 language	English
Title of host publication	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9789881476821
DOIs	https://doi.org/10.1109/APSIPA.2016.7820764
Publication status	Published - 2017 Jan 17
Event	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 - Jeju, Korea, Republic of Duration: 2016 Dec 13 → 2016 Dec 16

Other

Other	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
Country/Territory	Korea, Republic of
City	Jeju
Period	16/12/13 → 16/12/16

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Information Systems
Signal Processing

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10.1109/APSIPA.2016.7820764

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Colorimetric background estimation for color blending reduction of OST-HMD. / Ryu, Je Ho; Kim, Jae Woo; Lee, Kang Kyu et al.

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7820764.

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

Ryu, JH, Kim, JW, Lee, KK & 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., 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016, Jeju, Korea, Republic of, 16/12/13. https://doi.org/10.1109/APSIPA.2016.7820764

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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.",

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

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doi = "10.1109/APSIPA.2016.7820764",

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Y1 - 2017/1/17

N2 - 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.

AB - 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.

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M3 - Conference contribution

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Colorimetric background estimation for color blending reduction of OST-HMD

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