DocumentCode :
595411
Title :
Direct least square fitting of ellipsoids
Author :
Xianghua Ying ; Li Yang ; Jing Kong ; Yongbo Hou ; Sheng Guan ; Hongbin Zha
Author_Institution :
Key Lab. of Machine Perception (MOE), Peking Univ., Beijing, China
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
3228
Lastpage :
3231
Abstract :
Least square fitting of quadratic surfaces is a fundamental problem in pattern recognition, computer vision, graphics, and medical imaging analysis. This paper investigated in approaches to ellipsoid-specific fitting. In 2D case, Fitzgibbon´s ellipse-specific fitting approach outperforms others since it is extremely robust, efficient, and easy to implement. This paper attempts to extend it from 2D to 3D for ellipsoid-specific fitting. The extension seems straightforward at first glance. However, we discovered to make the extension feasible is not easy as mentioned in the main text. Experimental results demonstrate the validity of the proposed approach.
Keywords :
curve fitting; least squares approximations; computer graphics; computer vision; direct least square fitting; ellipsoid-specific fitting; medical imaging analysis; pattern recognition; quadratic surfaces; Eigenvalues and eigenfunctions; Ellipsoids; Equations; Fitting; Noise; Robustness; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460852
Link To Document :
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