Visual Contrast Sensitivity and Discrimination for 3D Meshes and their Applications

Georges Nader 1 Kai Wang 2 Franck Hétroy-Wheeler 3 Florent Dupont 1
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 GIPSA-AGPIG - AGPIG
GIPSA-DIS - Département Images et Signal
3 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
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.
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Georges Nader, Kai Wang, Franck Hétroy-Wheeler, Florent Dupont. Visual Contrast Sensitivity and Discrimination for 3D Meshes and their Applications. Computer Graphics Forum, Wiley, 2016, 35 (7), pp.497-506. ⟨10.1111/cgf.13046⟩. ⟨hal-01376275⟩

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