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Jens Randel Nyengaard

Stereological Estimation of Particle Shape and Orientation From Volume Tensors

Research output: Working paperResearch

Standard

Stereological Estimation of Particle Shape and Orientation From Volume Tensors. / H. Rafati, Ali; Ziegel, Johanna; Nyengaard, Jens Randel; Jensen, Eva B. Vedel.

Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University, 2015.

Research output: Working paperResearch

Harvard

APA

H. Rafati, A., Ziegel, J., Nyengaard, J. R., & Jensen, E. B. V. (2015). Stereological Estimation of Particle Shape and Orientation From Volume Tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 12 http://math.au.dk/publs?publid=1050

CBE

H. Rafati A, Ziegel J, Nyengaard JR, Jensen EBV. 2015. Stereological Estimation of Particle Shape and Orientation From Volume Tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University.

MLA

H. Rafati, Ali et al. Stereological Estimation of Particle Shape and Orientation From Volume Tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. (CSGB Research Reports; Journal number 12). 2015., 17 p.

Vancouver

H. Rafati A, Ziegel J, Nyengaard JR, Jensen EBV. Stereological Estimation of Particle Shape and Orientation From Volume Tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. 2015.

Author

H. Rafati, Ali ; Ziegel, Johanna ; Nyengaard, Jens Randel ; Jensen, Eva B. Vedel. / Stereological Estimation of Particle Shape and Orientation From Volume Tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University, 2015. (CSGB Research Reports; No. 12).

Bibtex

@techreport{c6dd1000f22148d79ee706040cbe1a2e,
title = "Stereological Estimation of Particle Shape and Orientation From Volume Tensors",
abstract = "We survey the role of symmetry in diffeomorphic registration of landmarks, curves, surfaces, images and higher-order data. The infinite dimensional problem of finding correspondences between objects can for a range of concrete data types be reduced resulting in compact representations of shape and spatial structure. This reduction is possible because the available data is incomplete in encoding the full deformation model. Using reduction by symmetry, we describe the reduced models in a common theoretical framework that draws on links between the registration problem and geometric mechanics. Symmetry also arises in reduction to the Lie algebra using particle relabeling symmetry allowing the equations of motion to be written purely in terms of Eulerian velocity field. Reduction by symmetry has recently been applied for jet-matching and higher-order discrete approximations of the image matching problem. We outline these constructions and further cases where reduction by symmetry promises new approaches to registration of complex data types. ",
author = "{H. Rafati}, Ali and Johanna Ziegel and Nyengaard, {Jens Randel} and Jensen, {Eva B. Vedel}",
year = "2015",
language = "English",
series = "CSGB Research Reports",
number = "12",
publisher = "Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University",
type = "WorkingPaper",
institution = "Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University",

}

RIS

TY - UNPB

T1 - Stereological Estimation of Particle Shape and Orientation From Volume Tensors

AU - H. Rafati, Ali

AU - Ziegel, Johanna

AU - Nyengaard, Jens Randel

AU - Jensen, Eva B. Vedel

PY - 2015

Y1 - 2015

N2 - We survey the role of symmetry in diffeomorphic registration of landmarks, curves, surfaces, images and higher-order data. The infinite dimensional problem of finding correspondences between objects can for a range of concrete data types be reduced resulting in compact representations of shape and spatial structure. This reduction is possible because the available data is incomplete in encoding the full deformation model. Using reduction by symmetry, we describe the reduced models in a common theoretical framework that draws on links between the registration problem and geometric mechanics. Symmetry also arises in reduction to the Lie algebra using particle relabeling symmetry allowing the equations of motion to be written purely in terms of Eulerian velocity field. Reduction by symmetry has recently been applied for jet-matching and higher-order discrete approximations of the image matching problem. We outline these constructions and further cases where reduction by symmetry promises new approaches to registration of complex data types.

AB - We survey the role of symmetry in diffeomorphic registration of landmarks, curves, surfaces, images and higher-order data. The infinite dimensional problem of finding correspondences between objects can for a range of concrete data types be reduced resulting in compact representations of shape and spatial structure. This reduction is possible because the available data is incomplete in encoding the full deformation model. Using reduction by symmetry, we describe the reduced models in a common theoretical framework that draws on links between the registration problem and geometric mechanics. Symmetry also arises in reduction to the Lie algebra using particle relabeling symmetry allowing the equations of motion to be written purely in terms of Eulerian velocity field. Reduction by symmetry has recently been applied for jet-matching and higher-order discrete approximations of the image matching problem. We outline these constructions and further cases where reduction by symmetry promises new approaches to registration of complex data types.

M3 - Working paper

T3 - CSGB Research Reports

BT - Stereological Estimation of Particle Shape and Orientation From Volume Tensors

PB - Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University

ER -