Correspondence Preserving Elastic Surface Registration with Shape Model Prior

被引:31
作者
Danckaers, F. [1 ]
Huysmans, T. [1 ]
Lacko, D. [1 ]
Ledda, A.
Verwulgen, S. [2 ]
Van Dongen, S. [3 ]
Sijbers, J. [1 ]
机构
[1] Univ Antwerp, Dept Phys, IMinds Vis Lab, Antwerp, Belgium
[2] Univ Antwerp, Fac Design Sci, Antwerp, Belgium
[3] Univ Antwerp, Grp Evolutionary Biol, Dept Biol, Antwerp, Belgium
来源
2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) | 2014年
关键词
FACE RECOGNITION; 2D;
D O I
10.1109/ICPR.2014.373
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we describe a framework for surface registration. The framework consists of a combination of rigid registration, elasticity modulated registration and the use of a shape model prior. The main goal in this paper is to minimize the geometric surface registration error while maintaining correspondences. Experiments show improved geometric fit, correspondence, and timing compared to the current state of the art. Possible applications of the framework are construction of correspondences for shape models, reconstruction of missing parts, and artifact reduction.
引用
收藏
页码:2143 / 2148
页数:6
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