Fitting discrete polynomial curve and surface to noisy data
Fitting discrete polynomial curve and surface to noisy data
复制标题
将离散多项式曲线和曲面拟合到噪声数据
DOI:
10.1007/s10472-014-9425-7
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发表时间:
2014
影响因子:
1.2
通讯作者:
F. Sekiya and A. Sugimoto
中科院分区:
文献类型:
--
作者:
P. Ngo;Y. Kenmochi;A. Sugimoto;H. Talbot and N. Passat;F. Sekiya and A. Sugimoto
Fitting geometric models such as lines, circles or planes is an essential task in image analysis and computer vision. This paper deals with the problem of fitting a discrete polynomial curve to given 2D integer points in the presence of outliers. A 2D discrete polynomial curve is defined as a set of integer points lying between two polynomial curves. We formulate the problem as a discrete optimization problem in which the number of points included in the discrete polynomial curve, i.e., the number of inliers, is maximized. We then propose a robust method that effectively achieves a solution guaranteeing local maximality by using a local search, called rock climbing, with a seed obtained by RANSAC. We also extend our method to deal with a 3D discrete polynomial surface. Experimental results demonstrate the effectiveness of our proposed method.
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DOI:
10.1007/978-3-540-79126-3_31
发表时间:
2008
期刊:
--
影响因子:
--
作者:
E. Charrier;L. Buzer
通讯作者:
L. Buzer
DOI:
10.1007/978-3-642-37067-0_21
发表时间:
2013
期刊:
--
影响因子:
--
作者:
Gaëlle Largeteau;R. Zrour;Eric Andres
通讯作者:
Eric Andres
DOI:
10.1007/978-3-642-19867-0_24
发表时间:
2011
期刊:
--
影响因子:
--
作者:
Laurent Provot;Y. Gérard
通讯作者:
Y. Gérard
DOI:
10.1016/j.tcs.2008.07.025
发表时间:
2008
期刊:
Theor. Comput. Sci.
影响因子:
--
作者:
Eric Andres
通讯作者:
Eric Andres
DOI:
10.14569/ijacsa.2013.040339
发表时间:
2012
期刊:
2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)
影响因子:
--
作者:
A. Séré;Oumarou Sié;Eric Andres
通讯作者:
Eric Andres