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Titlebook: Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis; ECCV 2004 Workshops Milan Sonka,Ioannis A. Kakadiaris,J

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Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors and apply it to the computation of the variability of diffusion tensor data. We expect that these methods will be useful in the registration of diffusion tensor images, the production of statistical atlases from diffusion tensor data, and the quantification of the anatomical variability caused by d
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Jim Paterson,Stefan Edlich,Reidar Hörninghms, we can find analogies in their line-and-plane geometry. We demonstrate how the moving frame technique can be made into a ubiquitous and powerful computational tool for designing and implementing more robust and more accurate cone-beam reconstruction algorithms.
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https://doi.org/10.1007/978-1-4302-0523-4feomorphic registration algorithms. The need for these types of averages is illustrated with synthetic examples and the novel algorithm is compared to the usual approach of averaging linear transformations. Furthermore, the same algorithm will be used for shape interpolation that is independent of the multi-scale framework used.
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Cone-Beam Image Reconstruction by Moving Frameshms, we can find analogies in their line-and-plane geometry. We demonstrate how the moving frame technique can be made into a ubiquitous and powerful computational tool for designing and implementing more robust and more accurate cone-beam reconstruction algorithms.
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