计算机工程2011，Vol.37Issue(11)：212-214,217,4.DOI:10.3969/j.issn.1000.3842.2011.11.073
基于ASM和K近邻算法的人脸脸型分类
Face Shape Classification Based on Active Shape Model and K-nearest Neighbor Algorithm
摘要
Abstract
Aiming at the problem of face feature classification, this paper proposes a new face classification algorithm based on Active Shape ModeI(ASM) and K-nearest neighbor algorithm.It extracts feature points of face by ASM algorithm, normalizes all feature points, and computes Hausdorff distance between feature points and every sample of each class.The face is classified by K-nearest neighbor algorithm with the Hausdorff distance computed.Experimental results show that the algorithm has high classification accuracy and speed, and it is easy to realize.关键词
人脸脸型分类/Hausdorff距离/K近邻算法/人脸特征提取/主动形状模型Key words
face shape classification/ Hausdorff distance/ K-nearest neighbor algorithm/ face feature extraction/ Active Shape Model(ASM)分类
信息技术与安全科学引用本文复制引用
张倩,丁友东,蓝建梁,涂意..基于ASM和K近邻算法的人脸脸型分类[J].计算机工程,2011,37(11):212-214,217,4.基金项目
上海市科委国际合作基金资助项目(09510700900) （09510700900）
初创期小企业创新基金资助项目(0801H102100) （0801H102100）
