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Francoise Preteux
Researcher at Telecom & Management SudParis
Publications - 150
Citations - 2157
Francoise Preteux is an academic researcher from Telecom & Management SudParis. The author has contributed to research in topics: Digital watermarking & MPEG-4. The author has an hindex of 24, co-authored 150 publications receiving 2100 citations. Previous affiliations of Francoise Preteux include Artemis & Institut Mines-Télécom.
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Proceedings ArticleDOI
Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI
TL;DR: This work addresses the issue of modeling and quantifying myocardial contraction from 4D MR sequences, and presents an unsupervised approach for building and using a statistical 3D motion atlas for the normal heart using a state-of-the-art variational non rigid registration technique.
Journal IssueDOI
A skinning approach for dynamic 3D mesh compression: Research Articles
TL;DR: The experimental evaluation shows that the proposed skinning-based encoder outperforms GV, RT, MPEG-4/AFX-IC, D3DMC, PCA and Dynapack techniques.
Proceedings ArticleDOI
The New MPEG-4/FAMC Standard for Animated 3D Mesh Compression
Khaled Mamou,Nikolce Stefanoski,Heiner Kirchhoffer,Klaus-Robert Müller,T. Zaharia,Francoise Preteux,Detlev Marpe,Jörn Ostermann +7 more
TL;DR: This paper presents a new compression technique for 3D dynamic meshes, referred to as FAMC - Frame-based Animated Mesh Compression, recently promoted within the MPEG-4 standard as Amen-dement 2 of part 16 (AFX -Animation Framework extension).
Journal ArticleDOI
An image-based computational model of oscillatory flow in the proximal part of tracheobronchial trees.
TL;DR: A computational model of an oscillatory laminar flow of an incompressible Newtonian fluid has been carried out in the proximal part of human tracheobronchial trees, either normal or with a strongly stenosed right main bronchus.
Proceedings ArticleDOI
Advanced navigation tools for virtual bronchoscopy
TL;DR: A set of advanced navigation and investigation tools based on the automatic extraction of the central axis (CA) of the 3D segmented airways are proposed, combining 3D distance map information and geodesic front propagation in order to accurately detect branching points and to preserve the original 3D topology of the airways.