计算机工程与应用2013，Vol.49Issue(6)：167-169,212,4.DOI:10.3778/j.issn.1002-8331.1107-0544
基于多种群遗传算法的人脸特征定位
Facial feature location based on multipopulation genetic algorithm
张永 1张译匀 1王芳1
作者信息
- 1. 兰州理工大学计算机与通信学院,兰州730050
- 折叠
摘要
Abstract
Active Shape Model (ASM) which is used to locate feature is a statistics shape model. Based on the original active shape model, a new Multipopulation Genetic Algorithm (MPGA) is applied to searching for the best representation of face images. The fitness function is determined based on the characteristics of the main facial features. Experimental results show that the improved ASM improves the accuracy of facial features location.关键词
人脸特征定位/活动形状模型/多种群遗传算法Key words
facial feature location/ active shape model/ multipopulation genetic algorithm分类
信息技术与安全科学引用本文复制引用
张永,张译匀,王芳..基于多种群遗传算法的人脸特征定位[J].计算机工程与应用,2013,49(6):167-169,212,4.
