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动态形状模型中最优搜索空间和最优搜索过程
引用本文:何良华,邹采荣,赵力,胡蝶.动态形状模型中最优搜索空间和最优搜索过程[J].东南大学学报,2005,21(3):263-267.
作者姓名:何良华  邹采荣  赵力  胡蝶
作者单位:[1]东南大学学习科学研究中心,南京210096 [2]东南大学无线电工程系,南京210096
基金项目:21st Century Education Revitalization Project (No.301703201).
摘    要:首先提出了最优形状子空间概念,它由主要形状子空间和主要形状变化子空间联合构成,最大程度上包含了搜索形状上的变化,更贴近现实中要搜索的目标.然后,在仔细研究了经典算法中的搜索过程后,通过引入代价函数和反馈机制,提出了一种最优搜索的概念,使在搜索过程中搜索、评价、反馈不断地进行,最后得到最佳的搜索结果.实验表明:提出的最优形状子空间在保证主要形状的基础上给出了最大限度的形状变化,最优搜索过程可保证搜索到局部的惟一最优形状.它们的综合大大改善了动态形状模型的性能,并提高了搜索的精确性.

关 键 词:动态形状模型  形状子空间  搜索子空间  主分量分析
收稿时间:03 28 2005 12:00AM

Optimal shape space and searching in the active shape model
He Lianghua,Zou Cairong,Zhao Li,Hu Die.Optimal shape space and searching in the active shape model[J].Journal of Southeast University(English Edition),2005,21(3):263-267.
Authors:He Lianghua  Zou Cairong  Zhao Li  Hu Die
Abstract:A novel idea,called the optimal shape subspace (OSS) is first proposed for optimizing active shape model (ASM) search.It is constructed from the principal shape subspace and the principal shape variance subspace.It allows the reconstructed shape to vary more than that reconstructed in the standard ASM shape space,hence it is more expressive in representing shapes in real life.Then a cost function is developed,based on a study on the search process.An optimal searching method using the feedback information provided by the evaluation cost is proposed to improve the performance of ASM alignment.Experimental results show that the proposed OSS can offer the maximum shape variation with reserving the principal information and a unique local optimal shape is acquired after optimal searching.The combination of OSS and optimal searching can improve the ASM performance greatly.
Keywords:active shape model  shape subspace  search subspace  principal component analysis
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