Description

This filter implements the just noticeable distortion (JND) model recently proposed by (Nader et al. 2016). This perceptually-driven model integrates mathematical models of contrast sensitivity function and contrast masking. It was calibrated using an experimental study of the properties of the human visual system. It can predict, for a given illumination and screen resolution, whether a change in local contrast on a 3D mesh, induced by a local geometric distortion, is visible or not.

Parameters

Parameter	Description
Screen width (pixels)	Characteristics of the visualization screen
Screen height (pixels)	Characteristics of the visualization screen
Screen size (cm)	Characteristics of the visualization screen
Scene height (pixels)	Characteristics of the scene
FOV (rad)	Field of view
User distance (cm)	Characteristics of the scene
Number of lights	Characteristics of the scene
Log in color-map	Parameter for visualizing results
Displacement of log	Parameter for visualizing results

Supported data structures

The supported data structures are: CGAL Polyhedron3, CGAL Surface_mesh, CGAL LCC, OpenMesh, AIF.

Restrictions

The mesh has to be triangular and manifold.

References

Just Noticeable Distortion Profile for Flat-Shaded 3D Mesh Surfaces,
G. Nader, K. Wang, F. Hétroy-Wheeler, F. Dupont,
IEEE Transactions on Visualization and Computer Graphics, 2016.