Publications related to Geometric Variational Models for Inverse Problems in Imaging

Numerical modeling of fluid-structure interaction in arteries with anisotropic polyconvex hyperelastic and anisotropic viscoelastic material models at finite strains

Alfio Quarteroni, Simone Deparis, Davide Forti

The accurate prediction of transmural stresses in arterial walls requires on the one hand robust and efficient numerical schemes for the solution of boundary value problems including fluid-structure interactions and on the other hand the use of a material ...

Wiley-Blackwell2016

Few distinct distances implies no heavy lines or circles

Frank de Zeeuw

We study the structure of planar point sets that determine a small number of distinct distances. Specifically, we show that if a set of n points determines o(n) distinct distances, then no line contains Omega(n (7/8)) points of and no circle contains Omega ...

Springer Heidelberg2016

Subspace Acceleration For Large-Scale Parameter-Dependent Hermitian Eigenproblems

Daniel Kressner, Petar Sirkovic

This work is concerned with approximating the smallest eigenvalue of a parameter-dependent Hermitian matrix A(mu) for many parameter values mu in a domain D subset of R-P. The design of reliable and efficient algorithms for addressing this task is of impor ...

Siam Publications2016

Scampi: a robust approximate message-passing framework for compressive imaging

Florent Gérard Krzakala, Jean François Emmanuel Barbier

Reconstruction of images from noisy linear measurements is a core problem in image processing, for which convex optimization methods based on total variation (TV) minimization have been the long-standing state-of-the-art. We present an alternative probabil ...

Iop Publishing Ltd2016

Evaluation of the shape deviation of non rigid parts from optical measurements

Loïc Andolfatto

This paper deals with an approach to identify geometrical deviations of flexible parts from optical measurements. Each step of the approach defines a specific issue which we try to respond to. The problem of measurement uncertainties is solved using an ori ...

Springer Verlag2016

A randomised primal-dual algorithm for distributed radio-interferometric imaging

Yves Wiaux, Rafael Eduardo Carrillo Rangel, Jason Douglas McEwen

Next generation radio telescopes, like the Square Kilometre Array, will acquire an unprecedented amount of data for radio astronomy. The development of fast, parallelisable or distributed algorithms for handling such large-scale data sets is of prime impor ...

Ieee2016

An Inner-Product Calculus for Periodic Functions and Curves

Michaël Unser, Daniel Andreas Schmitter, Anaïs Laure Marie-Thérèse Badoual

Our motivation is the design of efficient algorithms to process closed curves represented by basis functions or wavelets. To that end, we introduce an inner-product calculus to evaluate correlations and

L _{ 2 }

distances between such curves. In partic ...

2016

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

Volkan Cevher

This paper proposes a tradeoff between computational time, sample complexity, and statistical accuracy that applies to statistical estimators based on convex optimization. When we have a large amount of data, we can exploit excess samples to decrease stati ...

Ieee-Inst Electrical Electronics Engineers Inc2015

COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography

Jean-Philippe Thiran, Alessandro Daducci, Alia Lemkaddem

Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the white matter from diffusion MRI data. These techniques offer a powerful tool to noninvasively investigate at the macroscopic scale the architecture of the ne ...

Institute of Electrical and Electronics Engineers2015

Interactive design exploration for constrained meshes

Mark Pauly, Sofien Bouaziz, Bailin Deng, Yuliy Gennadievich Schwartzburg, Mario Moacir Deuss, Alexandre Kaspar

In architectural design, surface shapes are commonly subject to geometric constraints imposed by material, fabrication or assembly. Rationalization algorithms can convert a freeform design into a form feasible for production, but often require design modif ...

Elsevier2015

Geometric Variational Models for Inverse Problems in Imaging

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Numerical modeling of fluid-structure interaction in arteries with anisotropic polyconvex hyperelastic and anisotropic viscoelastic material models at finite strains

Few distinct distances implies no heavy lines or circles

Subspace Acceleration For Large-Scale Parameter-Dependent Hermitian Eigenproblems

Scampi: a robust approximate message-passing framework for compressive imaging

Evaluation of the shape deviation of non rigid parts from optical measurements

A randomised primal-dual algorithm for distributed radio-interferometric imaging

An Inner-Product Calculus for Periodic Functions and Curves

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography

Interactive design exploration for constrained meshes

Evaluation of the shape deviation of non rigid parts from optical measurements

Interactive design exploration for constrained meshes

Numerical modeling of fluid-structure interaction in arteries with anisotropic polyconvex hyperelastic and anisotropic viscoelastic material models at finite strains

Few distinct distances implies no heavy lines or circles

A randomised primal-dual algorithm for distributed radio-interferometric imaging

Subspace Acceleration For Large-Scale Parameter-Dependent Hermitian Eigenproblems

An Inner-Product Calculus for Periodic Functions and Curves

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography

Scampi: a robust approximate message-passing framework for compressive imaging