Non-rigid Shape Registration: A Single Linear Least Squares Framework

被引：0
|
作者：
Rouhani, Mohammad [1 ]
Sappa, Angel D. [1 ]
机构：
[1] Comp Vis Ctr, Bellaterra 08193, Spain
来源：
COMPUTER VISION - ECCV 2012, PT VII | 2012年 / 7578卷
关键词：
ALGORITHM; ALIGNMENT;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a non-rigid registration formulation capturing both global and local deformations in a single framework. This formulation is based on a quadratic estimation of the registration distance together with a quadratic regularization term. Hence, the optimal transformation parameters are easily obtained by solving a liner system of equations, which guarantee a fast convergence. Experimental results with challenging 2D and 3D shapes are presented to show the validity of the proposed framework. Furthermore, comparisons with the most relevant approaches are provided.
引用
收藏
页码：264 / 277
页数：14
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