较少标定点条件下的主动形状模型研究  

Research on active shape model under fewer landmarks conditions

作　　者：冀贞海[1] 邹采荣[2] 赵力[2] 

机构地区：[1]东南大学学习科学研究中心,江苏南京210096 [2]东南大学无线电工程系,江苏南京210096

出　　处：《电路与系统学报》2007年第3期57-61,共5页Journal of Circuits and Systems

基　　金：国家自然科学基金资助项目(60503023;60472058);教育部博士点基金(20050286001);教育部新世纪优秀人才支持计划(NCET-04-0483)

摘　　要：主动形状模型(ASM)的核心部分包括两个子模型,全局形状模型和局部纹理模型,两者均由标定人脸的许多关键点经过统计方法构建而成。本文研究了在只有少量关键标定点情况下,如何有效的进行主动形状建模的问题。通过充分利用面部轮廓标定点的信息,提出了一种将面部轮廓质心动态变化和传统主动形状模型相结合的策略,解决了在少量标定点条件下主动形状建模所遇到的问题。实验表明,改进方法在定位人脸图像关键点时耗时更短,而且具有更广范围的搜索能力和性能良好的搜索精度。The Active Shape Model （ASM） method is composed of two parts, global shape model and local texture model, which are all derived from the sufficient landmarks around the shape. This paper presents an improved method on how to utilize the ASM efficiently under fewer landmarks conditions. Through changing the gravity center of face contour dynamically and combining with the traditional ASM, the improved method overcomes the problem of modeling ASM under fewer landmarks. The experiments show that the improved method consumes less time in searching target shape than traditional ASM, and has slight wider capture range and same good performances in point location accuracy.

关 键 词：主动形状模型 面部特征定位 人脸识别 主分量分析 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]