2 papers
cs.CG2025
EuLearn: A 3D database for learning Euler characteristics
Rodrigo Fritz, Pablo Suárez-Serrato, Victor Mijangos +2
We present EuLearn, the first surface datasets equitably representing a diversity of topological types. We designed our embedded surfaces of uniformly varying genera relying on ran…
cs.GR2024
Learning from landmarks, curves, surfaces, and shapes in Geomstats
Luís F. Pereira, Alice Le Brigant, Adele Myers +7
We introduce the shape module of the Python package Geomstats to analyze shapes of objects represented as landmarks, curves and surfaces across fields of natural sciences and engin…