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.
- 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.
- 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].