36 citations · 103 across the 5 of their papers we have counts for
5 papers
Symmetria: A Synthetic Dataset for Learning in Point Clouds
Ivan Sipiran, Gustavo Santelices, Lucas Oyarzún +4
Unlike image or text domains that benefit from an abundance of large-scale datasets, point cloud learning techniques frequently encounter limitations due to the scarcity of extensi…
Recognising geometric primitives in 3D point clouds of mechanical CAD objects
Chiara Romanengo, Andrea Raffo, Silvia Biasotti +1
The problem faced in this paper concerns the recognition of simple and complex geometric primitives in point clouds resulting from scans of mechanical CAD objects. A large number o…
SHREC 2022: Fitting and recognition of simple geometric primitives on point clouds
Chiara Romanengo, Andrea Raffo, Silvia Biasotti +17
This paper presents the methods that have participated in the SHREC 2022 track on the fitting and recognition of simple geometric primitives on point clouds. As simple primitives w…
Fitting and recognition of geometric primitives in segmented 3D point clouds using a localized voting procedure
Andrea Raffo, Chiara Romanengo, Bianca Falcidieno +1
The automatic creation of geometric models from point clouds has numerous applications in CAD (e.g., reverse engineering, manufacturing, assembling) and, more in general, in shape…
Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD objects
Chiara Romanengo, Andrea Raffo, Yifan Qie +2
We propose Fit4CAD, a benchmark for the evaluation and comparison of methods for fitting simple geometric primitives in point clouds representing CAD objects. This benchmark is mea…