This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
A Perceptual-Statistics Shading Model
Dec. 2012 (vol. 18 no. 12)
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.
Index Terms:
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
Citation:
V. Solteszova, C. Turkay, M. C. Price, I. Viola, "A Perceptual-Statistics Shading Model," IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pp. 2265-2274, Dec. 2012, doi:10.1109/TVCG.2012.188
Usage of this product signifies your acceptance of the Terms of Use.