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主动形状模型中搜索过程与搜索空间的改进*

, PP. 394-400

Keywords: 主动形状模型(ASM),主分量分析,面部对准

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Abstract:

主动形状模型是近年来广泛使用的特征点对准算法.但是其搜索空间难以重构出现实中复杂多变的搜索对象.另外,搜索过程中由于没有提示或约束,故所得结果不稳定.因此,本文改进搜索空间与搜索过程,通过在搜索空间中加入主要形状变化子空间,重构模型更加泛化,利用搜索过程中的误差来分析搜索状态,反馈约束下一步的搜索方向和过程.这样的反馈、迭代搜索过程大大增加搜索过程的主动性和目的性,且搜索结果唯一.最终的人脸对准实验证明,本文的改进较大地提高了对准精度.

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