Evaluating the visibility threshold for a local geometric distortion on a 3D mesh and its applications

Abstract : Geometric operations applied to a 3D mesh introduce geometric distortion in the form of vertex displacement that can be visible to a human observer. In this thesis, we have studied the perceptual impact of these geometric distortions. More precisely, our goal is to compute the threshold beyond which a local geometric distortion becomes visible. In order to reach this goal, we start by evaluating perceptually relevant properties on 3D meshes. We have then performed a series of psychophysical experiments in which we measured the visibility threshold relative to various properties of the Human Visual System (contrast sensitivity and visual masking). The results of these experiments allowed us to propose an algorithm that computes the visibility threshold relative to a local geometric distortion. This algorithm is capable of adapting to the different display condition of 3D meshes (resolution, display size, illumination condition and rendering). Finally, we showcase the utility of our work by integrating the developed perceptual method in several geometric operations such as mesh simplification and adaptive subdivision
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Georges Nader. Evaluating the visibility threshold for a local geometric distortion on a 3D mesh and its applications. Computer Vision and Pattern Recognition [cs.CV]. Université de Lyon, 2016. English. ⟨NNT : 2016LYSE1239⟩. ⟨tel-01456768v2⟩



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