3D Point-Cloud Analysis

This project focuses on the analysis of complex acquired 3D point clouds, in order to discover and characterize high level properties of the underlying shapes.

We specifically focus on the definition on features scale, in order to provide robust multiscale analysis of complex geometry.

Participants
  • Nicolas Mellado
  • Loic Barthe
  • Thibault Lejemble
  • Claudio Mura

This work also involves a collaboration with Archeovision to provide complex point clouds of archeological materials, ranging from small objects to buildings.

Ressources
  • Patate Library: a C++/CUDA header only library for graphics applications, including a data fitting module called Grenaille [website].
  • Growing Least Square website: introduce the theoretical concept behind the Growing Least Squares framework [link].
Fundings
Related publications
T. Lejemble, C. Mura, L. Barthe, N. Mellado
Journées Françaises d’Informatique Graphique, 2018
N. Mellado, M. Dellepiane, R. Scopigno
IEEE Transactions on Visualization and Computer Graphics, 2015
A. Monszpart, N. Mellado, G. Brostow, N. Mitra
ACM Transactions on Graphics, 2015
G. Nader, G. Guennebaud, N. Mellado
Computer Graphics Forum, 2014
B. Ridel, P. Reuter, J. Laviole, N. Mellado, N. Couture, X. Granier
Journal on Computing and Cultural Heritage, 2014
M. Hueting, A. Monszpart, N. Mellado
SIGGRAPH Asia 2014 Indoor Scene Understanding Where Graphics Meets Vision
N. Mellado, P. Barla, G. Guennebaud, P. Reuter, G. Duquesne
SIGGRAPH Talk Program, 2013
B. Ridel, P. Reuter, J. Laviole, N. Mellado, X. Granier, N. Couture
25ème conférence francophone sur l'Interaction Homme-Machine, IHM'13, 2013
N. Mellado, G. Guennebaud, P. Barla, P. Reuter, C. Schlick
Computer Graphics Forum, 2012
PhD. Thesis, Université Sciences et Technologies - Bordeaux I, 2012