ESTIMATION OF STRUCTURE AND MOTION

Method of normal estimation based on approximation for visualization

[+] Author Affiliations
Dihui Hong, Gangmin Ning, Ting Zhao, Mu Zhang, Xiaoxiang Zheng

Zhejiang University, Department of Biomedical Engineering, Hangzhou, Zhejiang?310027, China E-mail: zxx@mail.hz.zj.cn

J. Electron. Imaging. 12(3), 470-477 (Jul 01, 2003). doi:10.1117/1.1579698
History: Received Nov. 20, 2001; Revised Oct. 18, 2002; Accepted Jan. 7, 2003; Online July 23, 2003
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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. © 2003 SPIE and IS&T.

© 2003 SPIE and IS&T

Citation

Dihui Hong ; Gangmin Ning ; Ting Zhao ; Mu Zhang and Xiaoxiang Zheng
"Method of normal estimation based on approximation for visualization", J. Electron. Imaging. 12(3), 470-477 (Jul 01, 2003). ; http://dx.doi.org/10.1117/1.1579698


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