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» A Riemannian Framework for Tensor Computing
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ICCV
2009
IEEE
13 years 6 months ago
Shape analysis with multivariate tensor-based morphometry and holomorphic differentials
In this paper, we propose multivariate tensor-based surface morphometry, a new method for surface analysis, using holomorphic differentials; we also apply it to study brain anatom...
Yalin Wang, Tony F. Chan, Arthur W. Toga, Paul M. ...
IPMI
2005
Springer
14 years 9 months ago
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Pa...
ECCV
2004
Springer
14 years 1 months ago
Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
P. Thomas Fletcher, Sarang C. Joshi
IMR
2004
Springer
14 years 1 months ago
Visualizing Mesh Adaptation Metric Tensors
Riemannian metric tensors are used to control the adaptation of meshes for finite element and finite volume computations. To study the numerous metric construction and manipulat...
Ko-Foa Tchon, Julien Dompierre, Marie-Gabrielle Va...
ICPR
2010
IEEE
14 years 1 months ago
Object Tracking by Structure Tensor Analysis
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low comput...
Michael Donoser, Stefan Kluckner, Horst Bischof