Paper Info
Title
Colorimetric background estimation for color blending reduction of OST-HMD.
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.
Year
Venue
Field
2016
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Virtual image,Computer vision,Color histogram,Computer science,Local regression,Color balance,Augmented reality,Colorimetry,Artificial intelligence,Distortion,Color normalization
DocType
ISSN
Citations 
Conference
2309-9402
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Je-Ho Ryu112.05
Jae Woo Kim2289.47
Kang-Kyu Lee3236.26
Jong-Ok Kim4146.14