Visual Contrast Sensitivity and Discrimination for 3D Meshes and their Applications
| dc.contributor.author | Nader, Georges | en_US |
| dc.contributor.author | Wang, Kai | en_US |
| dc.contributor.author | Hétroy-Wheeler, Franck | en_US |
| dc.contributor.author | Dupont, Florent | en_US |
| dc.contributor.editor | Eitan Grinspun and Bernd Bickel and Yoshinori Dobashi | en_US |
| dc.date.accessioned | 2016-10-11T05:21:08Z | |
| dc.date.available | 2016-10-11T05:21:08Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | In this paper, we first introduce an algorithm for estimating the visual contrast on a 3D mesh. We then perform a series of psychophysical experiments to study the effects of contrast sensitivity and contrast discrimination of the human visual system for the task of differentiating between two contrasts on a 3D mesh. The results of these experiments allow us to propose a perceptual model that is able to predict whether a change in local contrast on 3D mesh, induced by a local geometric distortion, is visible or not. Finally, we illustrate the utility of the proposed perceptual model in a number of applications: we compute the Just Noticeable Distortion (JND) profile for smooth-shaded 3D meshes and use the model to guide mesh processing algorithms. | en_US |
| dc.description.number | 7 | |
| dc.description.sectionheaders | Geometry | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 35 | |
| dc.identifier.doi | 10.1111/cgf.13046 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 497-506 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.13046 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf13046 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.title | Visual Contrast Sensitivity and Discrimination for 3D Meshes and their Applications | en_US |