Publications associées à Axonometric projection

High-quality parallel-ray X-Ray CT back projection using optimized interpolation

We propose a new, cost-efficient method for computing back projections in parallel-ray X-ray CT. Forward and back projections are the basis of almost all X-ray CT reconstruction methods, but computing these accurately is costly. In the special case of para ...

Institute of Electrical and Electronics Engineers2017

High-Quality Parallel-Ray x-Ray CT Back Projection Using Optimized Interpolation

Michaël Unser, Michael Thompson McCann

2017

Compressed Sensing for Dose Reduction in STEM Tomography

Michaël Unser, Laurène Donati, Masih Nilchian

We designed a complete acquisition-reconstruction framework to reduce the radiation dosage in 3D scanning transmission electron microscopy (STEM). Projection measurements are acquired by randomly scanning a subset of pixels at every tilt-view (i.e., random ...

IEEE2017

Compressed sensing for STEM tomography

Michaël Unser, Laurène Donati, Masih Nilchian

A central challenge in scanning transmission electron microscopy (STEM) is to reduce the electron radiation dosage required for accurate imaging of 3D biological nano-structures. Methods that permit tomographic reconstruction from a reduced number of STEM ...

2017

Graph-based representation for multiview image geometry

Pascal Frossard, Thomas Maugey

In this paper, we propose a new representation for multiview image sets. Our approach relies on graphs to describe geometry information in a compact and controllable way. The links of the graph connect pixels in different images and describe the proximity ...

Institute of Electrical and Electronics Engineers2015

Robust Image Reconstruction from Multiview Measurements

Pierre Vandergheynst, Gilles Puy

We propose a novel method to accurately reconstruct a set of images representing a single scene from a few linear multiview measurements. Each observed image is modeled as the sum of a background image and a foreground one. The background image is common t ...

Siam Publications2014

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

Distributed Successive Refinement of Multiview Images Using Broadcast Advantage

Martin Vetterli, Guillermo Barrenetxea Kobas, Zichong Chen

In environmental monitoring applications, having multiple cameras focus on common scenery increases robustness of the system. To save energy based on user demand, successive refinement image coding is important, as it allows us to progressively request bet ...

Institute of Electrical and Electronics Engineers2012

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Axonometric projection

High-quality parallel-ray X-Ray CT back projection using optimized interpolation

High-Quality Parallel-Ray x-Ray CT Back Projection Using Optimized Interpolation

Compressed Sensing for Dose Reduction in STEM Tomography

Compressed sensing for STEM tomography

Graph-based representation for multiview image geometry

Robust Image Reconstruction from Multiview Measurements

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

Graph-based representation and coding of multiview geometry

Distributed Successive Refinement of Multiview Images Using Broadcast Advantage

Graph Chatbot

Chattez avec Graph Search

Compressed Sensing for Dose Reduction in STEM Tomography

High-Quality Parallel-Ray x-Ray CT Back Projection Using Optimized Interpolation

Graph-based representation and coding of multiview geometry

High-quality parallel-ray X-Ray CT back projection using optimized interpolation

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

Graph-based representation for multiview image geometry

Compressed sensing for STEM tomography

Robust Image Reconstruction from Multiview Measurements

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

Distributed Successive Refinement of Multiview Images Using Broadcast Advantage