DocumentCode :
2092755
Title :
TV-L1 Optimization for B-Spline Surface Reconstruction with Sharp Features
Author :
Xiaoqun Wu ; Yiyu Cai ; Jianmin Zheng
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2013
fDate :
16-18 Nov. 2013
Firstpage :
44
Lastpage :
51
Abstract :
The placement of knot vector and the determination of control points are two fundamental issues in B-spline surface reconstruction. This paper presents a variational approach to construct B-spline surfaces from a set of data points. The approach finds the optimal placement of knots and control points simultaneously while most previous methods determine the knots heuristically or in a separate step. Moreover, different from most previous methods using least squares metric, our approach adapts L_1-norm with total variation (TV) as regularization in the fitting procedure, which enables the approach to handle both Gaussian noise and outliers in the same manner and is able to automatically optimize the placement of knot vector to faithfully reconstruct the sharp features. A numerical solver based on the augmented Lagrangian method is also proposed in the paper to efficiently solve the TV-L_1 optimization. Experimental results demonstrate the effectiveness and efficiency of the proposed variational B-spline surface reconstruction.
Keywords :
Gaussian noise; computer graphics; image reconstruction; least squares approximations; splines (mathematics); B-spline surface reconstruction; Gaussian noise; TV-L1 optimization; augmented Lagrangian method; knot vector; least squares metric; numerical solver; Image reconstruction; Noise; Optimization; Splines (mathematics); Surface reconstruction; Surface treatment; Vectors; B-spline surface reconstruction; L_1-norm; augmented Lagrangian method; knot placement; total variation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Design and Computer Graphics (CAD/Graphics), 2013 International Conference on
Conference_Location :
Guangzhou
Type :
conf
DOI :
10.1109/CADGraphics.2013.13
Filename :
6814976
Link To Document :
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