The Community for Technology Leaders
Green Image
Issue No. 12 - Dec. (2012 vol. 18)
ISSN: 1077-2626
pp: 2265-2274
V. Solteszova , Dept. of Inf., Univ. of Bergen, Bergen, Norway
C. Turkay , Dept. of Inf., Univ. of Bergen, Bergen, Norway
M. C. Price , Psychol. Fac., Univ. of Bergen, Bergen, Norway
I. Viola , Dept. of Inf., Univ. of Bergen, Bergen, Norway and Christian Michelsen Research, Norway
The process of surface perception is complex and based on several influencing factors, e.g., shading, silhouettes, occluding contours, and top down cognition. The accuracy of surface perception can be measured and the influencing factors can be modified in order to decrease the error in perception. This paper presents a novel concept of how a perceptual evaluation of a visualization technique can contribute to its redesign with the aim of improving the match between the distal and the proximal stimulus. During analysis of data from previous perceptual studies, we observed that the slant of 3D surfaces visualized on 2D screens is systematically underestimated. The visible trends in the error allowed us to create a statistical model of the perceived surface slant. Based on this statistical model we obtained from user experiments, we derived a new shading model that uses adjusted surface normals and aims to reduce the error in slant perception. The result is a shape-enhancement of visualization which is driven by an experimentally-founded statistical model. To assess the efficiency of the statistical shading model, we repeated the evaluation experiment and confirmed that the error in perception was decreased. Results of both user experiments are publicly-available datasets.
visual perception, data visualisation, statistics, publicly-available datasets, perceptual-statistics shading model, surface perception, influencing factors, perception error, visualization technique, distal stimulus, proximal stimulus, 3D surface visualization, 2D screens, Rendering (computer graphics), Shape analysis, Observers, Mathematical model, Computational modeling, Surface reconstruction, statistical analysis, Shading, perception, evaluation, surface slant
V. Solteszova, C. Turkay, M. C. Price, I. Viola, "A Perceptual-Statistics Shading Model", IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 2265-2274, Dec. 2012, doi:10.1109/TVCG.2012.188
85 ms
(Ver 3.3 (11022016))