3 papers
cs.CV2026
Varifold Moment Invariants for Sustainable and Explainable Contour Feature Extraction
G. Longari, J. -C. Alvarez Paiva, A. B. Tumpach
We introduce Varifold Moments Invariants (VMI) as a unifying framework for many previously introduced Moment Invariants. These invariants are deeply related to other contour featur…
cs.CV2025
Geometric Learning of Canonical Parameterizations of -curves
Ioana Ciuclea, Giorgio Longari, Alice Barbara Tumpach
Most datasets encountered in computer vision and medical applications present symmetries that should be taken into account in classification tasks. A typical example is the symmetr…
math.DG2025
Analysis and Computation of Geodesic Distances on Reductive Homogeneous Spaces
Remco Duits, Gijs Bellaard, Barbara Tumpach
Many geometric machine learning and image analysis applications, require a left-invariant metric on the 5D homogeneous space of 3D positions and orientations SE(3)/SO(2). This is d…