From Elevation Maps To Contour Lines: SVM and Decision Trees to Detect Violin Width Reduction
This work addresses a domain-specific problem for violin analysis, but it is incremental as it compares existing methods on a new dataset without introducing novel techniques.
The paper tackled the problem of automatically detecting violin width reduction by comparing SVM and Decision Trees on geometry-based elevation maps versus feature-engineered contour lines from 3D photogrammetric meshes, finding that contour-based inputs outperformed elevation maps.
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.