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 |
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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 | |
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 |
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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