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dc.contributor.authorNader, Georgesen_US
dc.contributor.authorWang, Kaien_US
dc.contributor.authorHétroy-Wheeler, Francken_US
dc.contributor.authorDupont, Florenten_US
dc.contributor.editorEitan Grinspun and Bernd Bickel and Yoshinori Dobashien_US
dc.date.accessioned2016-10-11T05:21:08Z
dc.date.available2016-10-11T05:21:08Z
dc.date.issued2016
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13046
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13046
dc.description.abstractIn 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.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleVisual Contrast Sensitivity and Discrimination for 3D Meshes and their Applicationsen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersGeometry
dc.description.volume35
dc.description.number7
dc.identifier.doi10.1111/cgf.13046
dc.identifier.pages497-506


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