Publications related to Graph-based representation and coding of multiview geometry

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Assembling a Network out of Ambiguous Patches

Matthias Grossglauser, Lyudmila Yartseva, Jefferson Elbert Simões

Many graph mining and network analysis problems rely on the availability of the full network over a set of nodes. But inferring a full network is sometimes non-trivial if the raw data is in the form of many small {\em patches} or subgraphs, of the true net ...

2016

Graph-based compression of dynamic 3D point cloud sequences

Pascal Frossard

This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud frames are similar, motion estimation is key to effective compression of th ...

Institute of Electrical and Electronics Engineers2016

Chaos: Scale-out Graph Processing from Secondary Storage

Willy Zwaenepoel, Laurent Bindschaedler, Amitabha Roy, Jasmina Malicevic

Chaos scales graph processing from secondary storage to multiple machines in a cluster. Earlier systems that process graphs from secondary storage are restricted to a single ma- chine, and therefore limited by the bandwidth and capacity of the storage syst ...

2015

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

Graph-based denoising for time-varying point clouds

Pierre Vandergheynst, Johann Paratte, Yann Mikaël Schoenenberger

Noisy 3D point clouds arise in many applications. They may be due to errors when creating a 3D model from images or simply to imprecise depth sensors. Point clouds can be given geometrical structure using graphs created from the similarity information betw ...

2015

Moment Semantics for Reversible Rule-Based Systems

Sandro Stucki

We develop a notion of stochastic rewriting over marked graphs – i.e. directed multigraphs with degree constraints. The approach is based on double-pushout (DPO) graph rewriting. Marked graphs are expressive enough to internalize the ‘no-dangling-edge’ con ...

Springer International Publishing2015

From Compact Semi-Toric Systems To Hamiltonian S-1-Spaces

Silvia Sabatini

We show how any labeled convex polygon associated to a compact semi-toric system, as de fined by V (u) over tilde Ngoc, determines Karshon's labeled directed graph which classifies the underlying Hamiltonian S-1-space up to isomorphism. Then we characteriz ...

Amer Inst Mathematical Sciences2015

Scale-up Graph Processing in the Cloud: Challenges and Solutions

Willy Zwaenepoel, Amitabha Roy, Jasmina Malicevic

Processing large graphs is an important part of the big-data problem. Recently a number of scale-up systems such as X-Stream, Graphchi and Turbograph have been proposed for processing large graphs using secondary storage on a single machine. The design and ...

Graph-based representation and coding of multiview geometry

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Assembling a Network out of Ambiguous Patches

Deconvolution of Gaussian Random Fields using the Graph Fourier Transform

Graph-based compression of dynamic 3D point cloud sequences

Chaos: Scale-out Graph Processing from Secondary Storage

Graph-based representation for multiview image geometry

Graph-based denoising for time-varying point clouds

Moment Semantics for Reversible Rule-Based Systems

From Compact Semi-Toric Systems To Hamiltonian S-1-Spaces

Scale-up Graph Processing in the Cloud: Challenges and Solutions

PrefEdge: SSD Prefetcher for Large-Scale Graph Traversal

Graph-based representation for multiview image geometry

Assembling a Network out of Ambiguous Patches

Graph-based compression of dynamic 3D point cloud sequences

Chaos: Scale-out Graph Processing from Secondary Storage

Deconvolution of Gaussian Random Fields using the Graph Fourier Transform

Graph-based denoising for time-varying point clouds

Moment Semantics for Reversible Rule-Based Systems

From Compact Semi-Toric Systems To Hamiltonian S-1-Spaces

Scale-up Graph Processing in the Cloud: Challenges and Solutions

PrefEdge: SSD Prefetcher for Large-Scale Graph Traversal