English

From Elevation Maps To Contour Lines: SVM and Decision Trees to Detect Violin Width Reduction

Computer Vision and Pattern Recognition 2026-04-06 v1 Artificial Intelligence

Abstract

We explore the automatic detection of violin width reduction using 3D photogrammetric meshes. We compare SVM and Decision Trees applied to a geometry-based raw representation built from elevation maps with a more targeted, feature-engineered approach relying on parametric contour lines fitting. Although elevation maps occasionally achieve strong results, their performance does not surpass that of the contour-based inputs.

Cite

@article{arxiv.2604.02446,
  title  = {From Elevation Maps To Contour Lines: SVM and Decision Trees to Detect Violin Width Reduction},
  author = {Philémon Beghin and Anne-Emmanuelle Ceulemans and François Glineur},
  journal= {arXiv preprint arXiv:2604.02446},
  year   = {2026}
}

Comments

Paper accepted for the Florence Heri-Tech 2026 Conference

R2 v1 2026-07-01T11:51:50.089Z