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Learning-based deformation estimation for fast non-rigid registration
2008
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
This paper presents a learning-based deformation estimation method for fast non-rigid registration. First, a PCA-based statistical deformation model is constructed using the deformation fields obtained by conventional registration algorithms between a template image and training subject images. Then, the constructed statistical model is used to generate a large number of sample deformation fields by resampling in the PCA space. In the meanwhile, by warping the template using these sample
doi:10.1109/cvprw.2008.4563006
pmid:20651935
pmcid:PMC2907542
dblp:conf/cvpr/KimKS08
fatcat:djcw5n5jc5f5tc6qyboumnpcyu