TY - GEN
T1 - Coordinate-free diffusion over compact lie-groups
AU - Gur, Yaniv
AU - Sochen, Nir
PY - 2007
Y1 - 2007
N2 - We have seen in recent years a need for regularization of complicated feature spaces: Vector fields, orientation fields, color perceptual spaces, the structure tensor and Diffusion Weighted Images (DWI) are few examples. In most cases we represent the feature space as a manifold. In the proposed formalism, the image is described as a section of a fiber bundle where the image domain is the base space and the feature space is the fiber. In some distinguished cases the feature space has algebraic structure as well. In the proposed framework we treat fibers which are compact Lie-group manifolds (e.g., O(N), SU(N)). We study here this case and show that the algebraic structure can help in defining a sensible regularization scheme. We solve the parameterization problem of compact manifold that is responsible for singularities anytime that one wishes to describe in one coordinate system a compact manifold. The proposed solution defines a coordinate-free diffusion process accompanied by an appropriate numerical scheme. We demonstrate this framework in an example of S1 feature space regularization which is known also as orientation diffusion.
AB - We have seen in recent years a need for regularization of complicated feature spaces: Vector fields, orientation fields, color perceptual spaces, the structure tensor and Diffusion Weighted Images (DWI) are few examples. In most cases we represent the feature space as a manifold. In the proposed formalism, the image is described as a section of a fiber bundle where the image domain is the base space and the feature space is the fiber. In some distinguished cases the feature space has algebraic structure as well. In the proposed framework we treat fibers which are compact Lie-group manifolds (e.g., O(N), SU(N)). We study here this case and show that the algebraic structure can help in defining a sensible regularization scheme. We solve the parameterization problem of compact manifold that is responsible for singularities anytime that one wishes to describe in one coordinate system a compact manifold. The proposed solution defines a coordinate-free diffusion process accompanied by an appropriate numerical scheme. We demonstrate this framework in an example of S1 feature space regularization which is known also as orientation diffusion.
UR - http://www.scopus.com/inward/record.url?scp=37249093138&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72823-8_50
DO - 10.1007/978-3-540-72823-8_50
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AN - SCOPUS:37249093138
SN - 9783540728221
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 580
EP - 591
BT - Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings
PB - Springer Verlag
T2 - 1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007
Y2 - 30 May 2007 through 2 June 2007
ER -