2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) 2016
DOI: 10.1109/apsipa.2016.7820764
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Colorimetric background estimation for color blending reduction of OST-HMD

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Cited by 7 publications
(4 citation statements)
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“…We've compared with the subtraction compensation approach [5]. We note that more sophisticated methods based on subtraction compensation (e.g., [7], [25]) also fail to keep the original visibility of virtual content on common OST-HMDs. In addition, results show that participants regarded the visibility-enhanced blending [9] as more distinguishable than our approach.…”
Section: User Study Iii: Methods Comparisonmentioning
confidence: 99%
See 1 more Smart Citation
“…We've compared with the subtraction compensation approach [5]. We note that more sophisticated methods based on subtraction compensation (e.g., [7], [25]) also fail to keep the original visibility of virtual content on common OST-HMDs. In addition, results show that participants regarded the visibility-enhanced blending [9] as more distinguishable than our approach.…”
Section: User Study Iii: Methods Comparisonmentioning
confidence: 99%
“…Thereafter, the background color is subtracted from the rendered color of the virtual scene [5]. Certain research pays more attention to colorimetric estimation [8], [25] or radiometric measurement [7] of the background to obtain background information with higher accuracy.…”
Section: Related Workmentioning
confidence: 99%
“…We further divided the related papers according to the type of measurement conducted: user experiment measurement or device measurement [65], [66], as shown in the right half of Figure 2. The primary classification basis for these two categories is whether the researcher assesses some aspect of human experience or behavior (e.g., action patterns, reactions, or feedback), or assesses only aspects of the HMD.…”
Section: Categorization: Environmental Factors User or Device Measure...mentioning
confidence: 99%
“…To get rid of the LUT, Itoh et al [14] created a channel-specific color-correcting model that consists of two portions, a linear transformation matrix and a nonlinear function, according to the physical optics represented in the rendering and perception of an OST-HMD and a user's eyes. Ryu et al [22] used synthesized images that were captured by a user-perspective camera to estimate real-space colors and performed color correction accordingly. Kim et al [23] tackled nonlinear color changes through localized regression; they modeled the changes and used hue-constrained gamut mapping for color correction.…”
Section: Color Distortion Correction For the Ost-hmdmentioning
confidence: 99%