HAL - INRIA :: [inria-00600161, version 1] Visualization of uncertain scalar data fields using color scales and perceptually adapted noise

inria-00600161, version 1

Visualization of uncertain scalar data fields using color scales and perceptually adapted noise

Alexandre Coninx () ¹, Georges-Pierre Bonneau ()^a^, 2, 3, Jacques Droulez () ¹, Guillaume Thibault ⁴

Applied Perception in Graphics and Visualization (2011)

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.

a – Université Joseph Fourier - Grenoble I
1: Laboratoire de Physiologie de la Perception et de l'Action (LPPA)
CNRS : UMR7152 – Collège de France
2: Laboratoire Jean Kuntzmann (LJK)
CNRS : UMR5224 – Université Joseph Fourier - Grenoble I – Université Pierre Mendès-France - Grenoble II – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
3: ARTIS (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
CNRS : FR71 – INRIA – Laboratoire Jean Kuntzmann – CNRS : UMR5224 – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
4: EDF R&D
EDF

inria-00600161, version 1
http://hal.inria.fr/inria-00600161
oai:hal.inria.fr:inria-00600161
From: Georges-Pierre Bonneau <>
Submitted on: Tuesday, 14 June 2011 09:52:37
Updated on: Tuesday, 10 April 2012 13:59:40

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