An Improved 3D Bilinear Multidimensional Morphable Models Used in 3D Face Recognition

被引：0
|
作者：
Wang, Liying [1 ]
Liu, Bixia [1 ]
Su, Songzhi [1 ]
Cheng, Yun [2 ]
Li, Shaozi [1 ]
机构：
[1] Xiamen Univ, Sch Informat Sci & Engn, Xiamen 361005, Peoples R China
[2] Hunan Univ Humanities Sci & Technol Loudi, Dept Commun & Control engn, Loudi, Hunan, Peoples R China
来源：
2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, ELECTRONICS AND ELECTRICAL ENGINEERING (ISEEE), VOLS 1-3 | 2014年
基金：
高等学校博士学科点专项科研基金;
关键词：
Bilinear Programming; 3D Multidimensional Morphable Models; Branch and Bound;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes the improved 3D Bilinear Multidimensional Morphable Models (BMMMs) which can be used in face recognition, etc. In each level of the multidimensional model, we introduce the bilinear programming model for the model matching problem as well as a globally optimal algorithm for bilinear programs. Both tight convex relaxations of the objective function and a convergent branching strategy contribute to the success of the globally optimal algorithm for bilinear programs. Experiments with synthetic data validate that the 3D Bilinear Multidimensional Morphable Models outperform the 3D Morphable Models in optimality, model matching speed, convergence rate and robustness to noise and outliers.
引用
收藏
页码：2052 / +
页数：2
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