S
Sébastien Valette
Researcher at University of Lyon
Publications - 67
Citations - 1311
Sébastien Valette is an academic researcher from University of Lyon. The author has contributed to research in topics: Polygon mesh & Wavelet. The author has an hindex of 15, co-authored 64 publications receiving 1195 citations. Previous affiliations of Sébastien Valette include Institut national des sciences Appliquées de Lyon & Jean Monnet University.
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Journal ArticleDOI
Generic Remeshing of 3D Triangular Meshes with Metric-Dependent Discrete Voronoi Diagrams
TL;DR: A generic framework for 3D surface remeshing based on a metric-driven Discrete Voronoi Diagram construction that combines the robustness and theoretical strength of Delaunay criteria with the efficiency of an entirely discrete geometry processing.
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Approximated Centroidal Voronoi Diagrams for Uniform Polygonal Mesh Coarsening
TL;DR: The clustering provides an efficient way to construct uniform tessellations, and therefore leads to uniform coarsening of polygonal meshes, when the output triangulation has many fewer elements than the input mesh.
Journal ArticleDOI
Wavelet-based multiresolution analysis of irregular surface meshes
Sébastien Valette,P. Prost +1 more
TL;DR: Lounsbery's multiresolution analysis wavelet-based theory for triangular 3D meshes is extended, which can only be applied to regularly subdivided meshes and thus involves a remeshing of the existing 3D data, to be applied directly to irregular meshes.
Journal ArticleDOI
Wavelet-based progressive compression scheme for triangle meshes: wavemesh
Sébastien Valette,Rémy Prost +1 more
TL;DR: A new lossy to lossless progressive compression scheme for triangular meshes, based on a wavelet multiresolution theory for irregular 3D meshes, is proposed, where the algorithm performs better than previously published approaches for both lossless and progressive compression.
Journal ArticleDOI
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
Olivier Bernard,Johan G. Bosch,Brecht Heyde,Martino Alessandrini,Daniel Barbosa,Sorina Camarasu-Pop,Frederic Cervenansky,Sébastien Valette,Oana Mirea,Michel Bernier,Pierre-Marc Jodoin,Jaime Santo Domingos,Richard V. Stebbing,Kevin Keraudren,Ozan Oktay,Jose Caballero,Wei Shi,Daniel Rueckert,Fausto Milletari,Seyed-Ahmad Ahmadi,Erik Smistad,Frank Lindseth,Maartje van Stralen,Chen Wang,Örjan Smedby,Erwan Donal,Mark J. Monaghan,Alex Papachristidis,Marcel L. Geleijnse,Elena Galli,Jan D'hooge +30 more
TL;DR: A standardized evaluation framework is introduced to reliably evaluate and compare the performance of the algorithms developed to segment the LV border in RT3DE and showed that the best methods produce promising results with respect to the experts' measurements for the extraction of clinical indices.