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

TL;DR

This paper compares SVM and Decision Trees for detecting violin width reduction using 3D meshes, finding contour-based features generally outperform elevation map-based features.

Contribution

It introduces a comparison between raw elevation map features and engineered contour line features for violin width reduction detection.

Findings

Contour-based features outperform elevation map features.

Elevation maps sometimes achieve strong results but are less consistent.

Engineered features improve detection accuracy.

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.