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基于变分域的主动形状模型标记点自动标定
引用本文:余珊,吴秀清. 基于变分域的主动形状模型标记点自动标定[J]. 计算机仿真, 2008, 25(3): 227-230
作者姓名:余珊  吴秀清
作者单位:中国科学技术大学电子工程与信息科学系,安徽,合肥,230026;中国科学技术大学电子工程与信息科学系,安徽,合肥,230026
摘    要:针对主动形状模型(Active Shape Model,ASM)的标定问题,提出了变分域的概念,并且利用变分域实现主动形状模型的自动标定.算法首先通过对样本集变分映射以得到形状变化的幅度、频度和位置,然后在D-P曲线采样算法的基础上,根据变分域信息动态设定平均形状标记点的位置和密度分布,从而把样本集的变化信息作为先验知识引入到标定中,提高了标记点对样本集变化的描述能力.实验表明,该方法能够得到更合理的标记点分布和更准确的样本形状及变化描述,而且ASM形状模型更加紧致.

关 键 词:变分域  变分映射  主动形状模型  标记点
文章编号:1006-9348(2008)03-0227-04
修稿时间:2007-03-18

Automatic Marking for Landmarks of Active Shape Model Based on Variation Domain
YU Shan,WU Xiu-qing. Automatic Marking for Landmarks of Active Shape Model Based on Variation Domain[J]. Computer Simulation, 2008, 25(3): 227-230
Authors:YU Shan  WU Xiu-qing
Affiliation:YU Shan,WU Xiu-qing(Department of Electronic Engineering , Information Science,USTC,Hefei Anhui 230026,China)
Abstract:With respect to the marking problem of Active Shape Model(ASM), a variation domain concept is presented, which is used for marking landmarks of ASM automatically. Magnitudes, frequencies and distribution of shape variations are obtained through a variation mapping on training sample set. Based on D-P algorithm, a dynamic marking algorithm is applied to set the location and density of landmarks for the mean shape according to the information in variation domain. Thus variation of the sample set is introduced...
Keywords:Variation domain  Variation mapping  Active shape model(ASM)  Landmark  
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