2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2018
DOI: 10.1109/vr.2018.8447557
|View full text |Cite
|
Sign up to set email alerts
|

Software Based Visual Aberration Correction for HMDs

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(6 citation statements)
references
References 10 publications
0
6
0
Order By: Relevance
“…Through the application of vision simulation, the presented imagery can be preprocessed with the inverse aberrations of the wearer, similar to certain vision-correcting displays. Such an enhancement of head-mounted devices eliminates the need to wear glasses, facilitating their use and further improving the convenience of users [102].…”
Section: Vision-correcting Devicesmentioning
confidence: 99%
“…Through the application of vision simulation, the presented imagery can be preprocessed with the inverse aberrations of the wearer, similar to certain vision-correcting displays. Such an enhancement of head-mounted devices eliminates the need to wear glasses, facilitating their use and further improving the convenience of users [102].…”
Section: Vision-correcting Devicesmentioning
confidence: 99%
“…Itoh et al [12] corrects the defocus aberration for optical see-through headsets by overlaying a compensated image in the user's view. Xu et al [13] use gradient-based priors to achieve realtime visual aberration correction for VR HMDs.…”
Section: Algorithmic Prescription Correctionmentioning
confidence: 99%
“…While algorithmic approaches are better alternatives compared to hardware solutions [8][9][10][11][12][13], their performance is dictated and limited by how they process the specific display's backlight response to human eyes. In the conventional algorithmic approach, it is assumed that each color channels of RGB correspond one-to-one relation with retinal cells (see Fig.…”
Section: Introductionmentioning
confidence: 99%
“…Other rendering techniques exploiting the human visual system are based on contrast enhancement [59] and binocular disparity [13]. Other studies in the area of image quality and foveated rendering have focused on computational optics [37], as well as rendering of pre-corrected images [56].…”
Section: Part Iii: Recent Trends and Challenges In Distance Perceptiomentioning
confidence: 99%