Visualization of uncertain scalar data fields using color scales and perceptually adapted noiseReport as inadecuate




Visualization of uncertain scalar data fields using color scales and perceptually adapted noise - Download this document for free, or read online. Document in PDF available to download.

1 LPPA - Laboratoire de Physiologie de la Perception et de l-Action 2 ARTIS - Acquisition, representation and transformations for image synthesis Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble 3 EDF R&D - EDF Recherche et Développement

Abstract : We present a new method to visualize uncertain scalar data fields by combining color scale visualization techniques with animated, perceptually adapted Perlin noise. The parameters of the Perlin noise are controlled by the uncertainty information to produce animated patterns showing local data value and quality. In order to precisely control the perception of the noise patterns, we perform a psychophysical evaluation of contrast sensitivity thresholds for a set of Perlin noise stimuli. We validate and extend this evaluation using an existing computational model. This allows us to predict the perception of the uncertainty noise patterns for arbitrary choices of parameters. We demonstrate and discuss the efficiency and the benefits of our method with various settings, color maps and data sets.

Keywords : scientific visualization uncertainty visualization computer graphics Perlin noise psychophysics contrast sensitivity





Author: Alexandre Coninx - Georges-Pierre Bonneau - Jacques Droulez - Guillaume Thibault -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents