Publications associées à Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression

Pierre Vandergheynst, Mahdad Hosseini Kamal

The effective representation of the structures in the multiview images is an important problem that arises in visual sensor networks. This paper presents a novel recovery scheme from compressive samples which exploit local and non-local correlated structur ...

Ieee2013

Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression

Pierre Vandergheynst, Mahdad Hosseini Kamal

2013

Binary Compressed Imaging

Michaël Unser, Aurélien Bourquard

Compressed sensing can substantially reduce the number of samples required for conventional signal acquisition at the expense of an additional reconstruction procedure. It also provides robust reconstruction when using quantized measurements, including in ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Enhanced Compressed Sensing Recovery with Level Set Normals

Jean-Philippe Thiran, Xavier Bresson, Virginia Estellers Casas

We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality from few measurements. The image reconstruction is done by iterating the two following steps: 1) estimation of normal vectors of the i ...

2013

Person Independent 3D Gaze Estimation From Remote RGB-D Cameras

Jean-Marc Odobez, Kenneth Alberto Funes Mora

We address the problem of person independent 3D gaze estimation using a remote, low resolution, RGB-D camera. The approach relies on a sparse technique to reconstruct normalized eye test images from a gaze appearance model (a set of eye image/gaze pairs) a ...

IEEE2013

Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds

Michael Christoph Gastpar

Recovery of the sparsity pattern (or support) of an unknown sparse vector from a small number of noisy linear mea- surements is an important problem in compressed sensing. In this paper, the high-dimensional setting is considered. It is shown that if the m ...

Institute of Electrical and Electronics Engineers2013

Bearing estimation via spatial sparsity using compressive sensing

Volkan Cevher

Bearing estimation algorithms obtain only a small number of direction of arrivals (DOAs) within the entire angle domain, when the sources are spatially sparse. Hence, we propose a method to specifically exploit this spatial sparsity property. The method us ...

Institute of Electrical and Electronics Engineers2012

Hard Thresholding with Norm Constraints

Volkan Cevher, Gilles Puy, Anastasios Kyrillidis

We introduce a new sparse recovery paradigm, called Normed Pursuits, where efficient algorithms from combinatorial and convex optimization interface for interpretable and model-based solutions. Synthetic and real data experiments illustrate that Normed Pur ...

Ieee2012

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Graph Chatbot

Chattez avec Graph Search

Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression

Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression

Binary Compressed Imaging

Enhanced Compressed Sensing Recovery with Level Set Normals

Person Independent 3D Gaze Estimation From Remote RGB-D Cameras

Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds

Wavelet-Based Reconstruction for Magnetic Resonance Imaging

Bearing estimation via spatial sparsity using compressive sensing

Distributed Compressed Representation of Correlated Image Sets

Hard Thresholding with Norm Constraints

Wavelet-Based Reconstruction for Magnetic Resonance Imaging

Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression

Binary Compressed Imaging

Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression

Person Independent 3D Gaze Estimation From Remote RGB-D Cameras

Enhanced Compressed Sensing Recovery with Level Set Normals

Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds

Distributed Compressed Representation of Correlated Image Sets

Bearing estimation via spatial sparsity using compressive sensing

Hard Thresholding with Norm Constraints