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Journal of Electronic Imaging

Method of normal estimation based on approximation for visualization
Author(s): Di-hui Hong; Gang-min Ning; Ting Zhao; Mu Zhang; Xiaoxiang Zheng
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Paper Abstract

A normal estimation algorithm for visualization is presented that approximates the density function in a local neighborhood with a second-degree polynomial function. The coefficients of the polynomial function can be solved by minimizing the error of the approximation. This method is tested in several volume data sets and comparisons with other methods are presented. It is demonstrated that this method is a fairly robust technique for noise-contained data and is preferable for most applications.

Paper Details

Date Published: 1 July 2003
PDF: 8 pages
J. Electron. Imaging. 12(3) doi: 10.1117/1.1579698
Published in: Journal of Electronic Imaging Volume 12, Issue 3
Show Author Affiliations
Di-hui Hong, Zhejiang Univ. (China)
Gang-min Ning, Zhejiang Univ. (China)
Ting Zhao, Zhejiang Univ. (China)
Mu Zhang, Zhejiang Univ. (China)
Xiaoxiang Zheng, Zhejiang Univ. (China)

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