Automatic Landmark Identification Using a New Method of Non-rigid Correspondence

Automatic Landmark Identification Using a New Method of Non-rigid Correspondence
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使用非刚性对应新方法自动地标识别

DOI:
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发表时间:
1997
期刊:
Information Processing in Medical Imaging
影响因子:
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通讯作者:
C. Taylor
C. Taylor
中科院分区:
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文献类型:
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作者:
A. Hill;A. D. Brett;C. Taylor

文献摘要

被引文献

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提出了一种两个形状边界对应的方法。该算法通过使用贪婪算法最小化成本函数来定位一对匹配的稀疏多边形近似,一对边界中的每一个。成本函数表示稀疏多边形的形状和表示误差(相对于定义边界)的相异性。结果呈现为三个类别的形状,表现出各种类型的非刚性变形。该算法也适用于一个自动地标识别任务的统计形状模型的建设。
A method for corresponding the boundaries of two shapes is presented. The algorithm locates a matching pair of sparse polygonal approximations, one for each of a pair of boundaries, by minimising a cost function using a greedy algorithm. The cost function expresses the dissimilarity in both the shape and representation error (with respect to the defining boundary) of the sparse polygons. Results are presented for three classes of shape which exhibit various types of non-rigid deformation. The algorithm is also applied to an automatic landmark identification task for the construction of statistical shape models.