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IMAGE MORPHING BY USING PRINCIPAL COMPONENT ANALYSIS

机译:使用主成分分析的图像变形

摘要

A method of morphing data defining an image of a first object using the morphological behaviour of a second object comprises processing a plurality of sets of data using the reference shape. Each data set defines a form of at least part of the second object and is indexed by a form reference. The data sets are processed to remove effects of size, location and rotation to define a corresponding plurality of shapes of the second object. Principal component analysis is carried out on the data sets to determine principal components and principal component scores. A form reference is received and used to look up principal components and principal component scores. A data set defining a reference shape of the first object is modified using the determined principal components and principal component scores to generate a modified data set defining a morph of the image.
机译:一种使用第二物体的形态行为来使定义第一物体的图像的数据变形的方法,包括使用参考形状来处理多组数据。每个数据集定义第二对象的至少一部分的形式,并由形式引用进行索引。对数据集进行处理以去除大小,位置和旋转的影响,以定义第二对象的相应多个形状。对数据集进行主成分分析,以确定主成分和主成分得分。收到表单参考,并用于查找主要成分和主要成分评分。使用确定的主成分和主成分得分来修改定义第一对象的参考形状的数据集,以生成定义图像的变形的修改后的数据集。

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