Name
Abstract | ||
|---|---|---|
We introduce a novel computational model for objectively assessing the visual comfort of stereoscopic 3D imagery. Our model integrates research in visual perception with tools from stereo computer vision to quantify the degree of stereo coherence between both stereo half-images. We show that the coherence scores computed by our model strongly correlate with human comfort ratings using a perceptual study of 20 participants rating 80 images each. Based on our experiments, we further propose a taxonomy of stereo coherence issues which affect viewing comfort, and propose a set of computational tools that extend our model to identify and localise stereo coherence issues from stereoscopic 3D images. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2030441.2030462 | Computational Aesthetics |
Keywords | Field | DocType |
coherence-based computational model,coherence score,stereoscopic viewing comfort,stereo half-images,stereo coherence issue,visual comfort,human comfort rating,novel computational model,computational tool,stereo coherence,stereo computer vision,localise stereo coherence issue,visual perception,computer model,computer vision,3d imaging | Computer vision,Stereo cameras,Computer graphics (images),Stereoscopy,Computer science,Coherence (physics),Artificial intelligence,Visual perception,Perceptual study,Computer stereo vision | Conference |
Citations | PageRank | References |
9 | 0.71 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Richardt | 1 | 393 | 26.27 |
| Lech Świrski | 2 | 84 | 5.37 |
| Ian Davies | 3 | 182 | 9.84 |
| Neil A. Dodgson | 4 | 723 | 54.20 |