Genetic algorithm based 3D face reconstruction

被引：0
|
作者：
Wang, Chengzhang [1 ]
Yin, Baocai [1 ]
Shi, Qin [1 ]
Sun, Yanfeng [1 ]
机构：
[1] Beijing Univ Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China
来源：
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
3D face reconstruction; model matching; genetic algorithm; illumination model;
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：
A novel model matching method based on genetic algorithm is presented in this paper for 3D face reconstruction. Having constructed the morphable model, genetic algorithm is proposed to tackle model matching problem. Multi-lights illumination model is developed to fit for more complex conditions. New model matching method based on genetic algorithm is independent from initial values and more robust than stochastic gradient descent method. Crossover and mutation probability are regulated during optimization process to improve precision and convergence speed of the algorithm. Multi-lights illumination model improves the stability of 3D face reconstruction and ability to evaluate illumination conditions of input facial images. Experimental results show the proposed method has good performance on 3D face reconstruction.
引用
收藏
页码：3643 / +
页数：2
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