Localized color correction for optical see-through displays via weighted linear regression

Kim, Jae-Woo; Lee, Kang-Kyu; Ryu, Jin‐Sook; Kim, Jong-Ok

doi:10.1145/2993369.2993406

Cited by 6 publications

(1 citation statement)

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“…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%

ALCC-Glasses: Arriving Light Chroma Controllable Optical See-Through Head-Mounted Display System for Color Vision Deficiency Compensation

et al. 2020

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About 250 million people in the world suffer from color vision deficiency (CVD). Contact lenses and glasses with a color filter are available to partially improve the vision of people with CVD. Tinted glasses uniformly change the colors in a user’s field of view (FoV), which can improve the contrast of certain colors while making others hard to identify. On the other hand, an optical see-through head-mounted display (OST-HMD) provides a new alternative by applying a controllable overlay to a user’s FoV. The method of color calibration for people with CVD, such as the Daltonization process, needs to make the calibrated color darker, which has not yet been featured on recent commercial OST-HMDs. We propose a new approach to realize light subtraction on OST-HMDs using a transmissive LCD panel, a prototype system, named ALCC-glasses, to validate and demonstrate the new arriving light chroma controllable augmented reality technology for CVD compensation.

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Section: Color Distortion Correction For the Ost-hmdmentioning

confidence: 99%