Geometric PCA of Images
نویسندگان
چکیده
We describe a method for analyzing the shape variability of images, called geometric PCA. Our approach is based on the use of deformation operators to model the geometric variability of images around a reference mean pattern. This leads to a new algorithm for estimating shape variability. Some numerical experiments on real images are proposed to highlight the benefits of this approach. The consistency of this procedure is also analyzed in statistical deformable models.
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عنوان ژورنال:
- SIAM J. Imaging Sciences
دوره 6 شماره
صفحات -
تاریخ انتشار 2013