Publications related to Robust single-view geometry and motion reconstruction

Inner-Loop-Free ADMM for Cryo-EM

Michaël Unser, Laurène Donati, Emmanuel Emilien Louis Soubies

Thanks to recent advances in signal processing, the interest for fast ℓ1-regularized reconstruction algorithms in cryo-electron microscopy (cryo-EM) has intensified. The approaches based on the alternating-direction of multipliers method (ADMM) are particu ...

IEEE2019

Data-driven Measurement Designs for Magnetic Resonance Imaging

Baran Gözcü

Despite being a powerful medical imaging technique which does not emit any ionizing radiation, magnetic resonance imaging (MRI) always had the major problem of long scanning times that can take up to an hour depending on the application. It also requires u ...

EPFL2019

Expectation propagation in the large data limit

Guillaume Philippe Ivan Joseph Dehaene

Expectation propagation (EP) is a widely successful algorithm for variational inference. EP is an iterative algorithm used to approximate complicated distributions, typically to find a Gaussian approximation of posterior distributions. In many applications ...

Wiley2018

Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes

Tien Dat Ngo

This thesis addresses the problem of recovering the 3-D shape of a deformable object in single images, or image sequences acquired by a monocular video camera, given that a 3-D template shape and a template image of the object are available. While being a ...

EPFL2016

Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling

Divesh Aggarwal

We give a randomized 2^{n+o(n)}-time and space algorithm for solving the Shortest Vector Problem (SVP) on n-dimensional Euclidean lattices. This improves on the previous fastest algorithm: the deterministic O(4^n)-time and O(2^n)-space algorithm of Miccian ...

ACM2015

An Algorithmic Framework for Mumford-Shah Regularization of Inverse Problems in Imaging

Martin Kurt Storath

The Mumford-Shah model is a very powerful variational approach for edge preserving regularization of image reconstruction processes. However, it is algorithmically challenging because one has to deal with a non-smooth and non-convex functional. In this pap ...

Iop Publishing Ltd2015

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

Pascal Fua, Alberto Crivellaro, Anne Alison Jorstad, Tien Dat Ngo, Sanghyuk Park

Deformable surface tracking from monocular images is well-known to be under-constrained. Occlusions often make the task even more challenging, and can result in failure if the surface is not sufficiently textured. In this work, we explicitly address the pr ...

2015

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

∥ω∥ ^{ -\gamma }

spectral ...

IEEE2014

Sensing the real world

Juri Ranieri

A sensor is a device that detects or measures a physical property and records, indicates, or otherwise responds to it. In other words, a sensor allows us to interact with the surrounding environment, by measuring qualitatively or quantitatively a given phe ...

EPFL2014

Image reconstruction of non-planar scenes from compressed multi-view measurements

Pierre Vandergheynst, Gilles Puy

We extend the domain of application of a method developed recently for joint reconstruction of l images, representing the same scene, from few multi-view measurements. While this method was initially designed for planar scenes, we show here that parametric ...

2013

Robust single-view geometry and motion reconstruction

Graph Chatbot

Chat with Graph Search

Inner-Loop-Free ADMM for Cryo-EM

Data-driven Measurement Designs for Magnetic Resonance Imaging

Expectation propagation in the large data limit

Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes

Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling

An Algorithmic Framework for Mumford-Shah Regularization of Inverse Problems in Imaging

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Sensing the real world

Image reconstruction of non-planar scenes from compressed multi-view measurements

Inner-Loop-Free ADMM for Cryo-EM

Expectation propagation in the large data limit

Data-driven Measurement Designs for Magnetic Resonance Imaging

Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes

An Algorithmic Framework for Mumford-Shah Regularization of Inverse Problems in Imaging

Sensing the real world

Image reconstruction of non-planar scenes from compressed multi-view measurements