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Visual Contrast Sensitivity and Discrimination for 3D Meshes and their Applications
Author(s) -
Nader G.,
Wang K.,
HétroyWheeler F.,
Dupont f.
Publication year - 2016
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13046
Subject(s) - polygon mesh , contrast (vision) , distortion (music) , computer science , sensitivity (control systems) , artificial intelligence , computer vision , perception , algorithm , human visual system model , computer graphics (images) , image (mathematics) , engineering , psychology , amplifier , computer network , bandwidth (computing) , electronic engineering , neuroscience
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.