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Sebastià Vila-Marta

dblp:05/774 · also Sebastià Vila · DBLP profile ↗
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7ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0001-9069-1340ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 5Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Geometric modeling and processing · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
geometric constraint solving
0.222014
Decomposition of geometric constraint graphs based on computing fundamental circuits. Correctness and complexity · Comput. Aided Des. 2014
Revisiting decomposition analysis of geometric constraint graphs · Comput. Aided Des. 2004

Methods — techniques the papers use, named apart from their topics

combinatorial rigidity · 0.2graph theory · 0.2graph decomposition · 0.0
YearPublicationVenuePosition
2016 Formalism for a multiresolution time series database model
Aleix Llusà Serra, Sebastià Vila-Marta, Teresa Escobet
Inf. Syst.2
2014 Decomposition of geometric constraint graphs based on computing fundamental circuits. Correctness and complexity
Robert Joan-Arinyo, Marta I. Tarrés-Puertas, Sebastià Vila-Marta
Comput. Aided Des.3
2009 Treedecomposition of geometric constraint graphs based on computing graph circuits
abstract
The graph-based geometric constraint solving technique works in two steps. First the geometric problem is translated into a graph whose vertices represent the set of geometric elements and whose edges are the constraints. Then the constraint problem is solved by decomposing the graph into a collection of subgraphs each representing a standard problem which is solved by a dedicated equational solver. In this work we report on an algorithm to decompose biconnected tree-decomposable graphs representing either underor wellconstrained 2D geometric constraint problems. The algorithm recursively first computes a set of fundamental circuits in the graph then splits the graph into a set of subgraphs each sharing exactly three vertices with the fundamental circuit. Practical experiments show that the reported algorithm clearly outperforms the treedecomposition approach based on identifying subgraphs by applying specific decomposition rules.
Robert Joan-Arinyo, Marta I. Tarrés-Puertas, Sebastià Vila-Marta
Symposium on Solid and Physical Modeling3
2004 Revisiting decomposition analysis of geometric constraint graphs
Robert Joan-Arinyo, Antoni Soto-Riera, Sebastià Vila-Marta, Josep Vilaplana-Pasto
Comput. Aided Des.3
2001 A framework to support multiple views in geometric constraint-based models
abstract
We develop a framework to support geometric constraint-based design systems with multiple views for concurrent engineering. The framework is based on a conceptual architecture with a master view and several client views with a two-way flow information between the master and client views. The tools in the framework are used to open a new application's view or when one of the applications changes its view by editing it and the master view and the other views must be updated to maintain consistency. A case study illustrates how the tools in the framework work.
Robert Joan-Arinyo, Antoni Soto-Riera, Sebastià Vila-Marta, Josep Vilaplana-Pasto
ETFA (1)3
1995 Computer graphics at the universitat politècnica de catalunya
Pere Brunet, R. Juan-Arinyo, Isabel Navazo, Dani Tost, Sebastià Vila-Marta
Comput. Graph.5
1992 A toolkit for constructing command driven graphics programs
Antoni Soto-Riera, Sebastià Vila-Marta, Àlvar Vinacua
Comput. Graph.2