Non-rigid 3D Face Shape Reconstruction using a Genetic Algorithm

被引：0
|
作者：
Park, Jong-Min [1 ]
Choi, Hyun-Chul [1 ]
Oh, Se-Young [1 ]
机构：
[1] Pohang Univ Sci & Technol POSTECH, Pohang 790784, Gyeongbuk, South Korea
来源：
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2010年
关键词：
MODELS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-rank constraints. Then the method finds the optimal coefficients for linear combinations of 3D shape bases to represent non-rigid 3D shapes using a genetic algorithm, and refines the 3D shape bases and the projection matrices using gradient descent techniques. The method reconstructed correct non-rigid 3D shapes in the presence of noise. The results can be used in many areas including animation, motion capture and non-rigid 3D object tracking.
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页数：6
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