NDLI: Fast normal estimation using surface characteristics

Content Provider	IEEE Xplore Digital Library
Author	Byeong Seok Shin Yeong Gil Shin
Copyright Year	1995
Description	Author affiliation: Dept. of Comput. Eng., Seoul Nat. Univ., South Korea (Byeong Seok Shin)
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.
Starting Page	159
Ending Page	166
File Size	1267325
Page Count	8
File Format	PDF
ISBN	0818671874
ISSN	10702385
DOI	10.1109/VISUAL.1995.480808
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data visualization Computed tomography Magnetic resonance imaging Computational modeling Medical simulation Humans Data engineering Sampling methods Computer graphics Biomedical imaging
Content Type	Text
Resource Type	Article

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