Name
Abstract | ||
|---|---|---|
Stereoscopic-3D (S3D) displays are widely used but present problems related to experiences of visual discomfort for human vision. One aspect of this issue is the movement of the gaze point within different depth fields. Here we aim to analyze the relationship between eye movement patterns and visual comfort experienced when viewing S3D images. Rather than simply labeling eye movement data according to categories such as gaze, saccade and so on, we depoly nonparametric Bayesian method to analyze and cluster several eye movement patterns, and to relate them to visual comfort. The results are relevant to the prediction of visual comfort assessment in S3D images by automatic algorithms. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/VCIP.2018.8698611 | 2018 IEEE Visual Communications and Image Processing (VCIP) |
Keywords | Field | DocType |
Stereoscopic-3D,Nonparametric Bayesian Model,Eye Movement,Visual Comfort | Computer vision,Gaze,Stereoscopy,Computer science,Nonparametric bayesian,Eye movement,Visual Discomfort,Artificial intelligence,Saccade | Conference |
ISBN | Citations | PageRank |
978-1-5386-4458-4 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi Zhang | 1 | 145 | 44.61 |
| Jun Zhou | 2 | 614 | 95.94 |
| Xiao Gu | 3 | 19 | 6.90 |
| Shouchen Zhu | 4 | 0 | 0.34 |
| Alan C. Bovik | 5 | 5062 | 349.55 |