Title :
Pictorial statistics-visualization of high-dimensional statistical distributions
Author :
Müller, Andreas A.
Author_Institution :
IWSP, Gottingen Univ., Germany
fDate :
29 Oct-3 Nov 1995
Abstract :
A general framework for visualization of statistical properties of high-dimensional pattern samples and the related computational steps are introduced. These procedures are exemplified on applications in anthropometrical research (shape information in faces) but can be easily generalized to various other morphometrical questions and data sets with pattern structure, e.g., data stemming from sensor arrays. Presently, the visualization techniques illustrated concentrate on (higher) moments of first order. It is suggested, how moments of second order can be visualized by animations and how this approach can be used in the context of comparative visualization
Keywords :
computer animation; data visualisation; mathematics computing; statistical analysis; animations; anthropometrical research; computation; high-dimensional pattern samples; high-dimensional statistical distributions; morphometrical; pictorial statistics; second order moments; statistical properties; visualization; Data visualization; Digital images; Distributed computing; Facial animation; Image sensors; Prototypes; Samarium; Sensor arrays; Shape; Statistical distributions;
Conference_Titel :
Visualization, 1995. Visualization '95. Proceedings., IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-7187-4
DOI :
10.1109/VISUAL.1995.485149