Title :
Fast normal estimation using surface characteristics
Author :
Shin, Byeong Seok ; Shin, Yeong Gil
Author_Institution :
Dept. of Comput. Eng., Seoul Nat. Univ., South Korea
fDate :
29 Oct-3 Nov 1995
Abstract :
To visualize the volume data acquired from computation or sampling, it is necessary to estimate normals at the points corresponding to object surfaces. Volume data does not holds the geometric information for the surface comprising points, so it is necessary to calculate normals using local information at each point. The existing normal estimation methods have some problems of estimating incorrect normals at discontinuous, aliased or noisy points. Yagel et al. (1992) solved some of these problems using their context-sensitive method. However, this method requires too much processing time and it loses some information on detailed parts of the object surfaces. This paper proposes the surface-characteristic-sensitive normal estimation method which applies different operators according to characteristics of each surface for the normal calculation. This method has the same advantages of the context-sensitive method, and also some other advantages such as less processing time and the reduction of the information loss on detailed parts
Keywords :
computational geometry; data visualisation; losses; surface fitting; aliased points; context-sensitive method; data acquisition; detailed parts; discontinuous points; geometric information; information loss; local information; noisy points; processing time; sampling; surface-characteristic-sensitive normal estimation method; volume data visualization; Biomedical imaging; Computational modeling; Computed tomography; Computer graphics; Data engineering; Data visualization; Humans; Magnetic resonance imaging; Medical simulation; Sampling methods;
Conference_Titel :
Visualization, 1995. Visualization '95. Proceedings., IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-7187-4
DOI :
10.1109/VISUAL.1995.480808