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.
Abstract (translated)
我们探索利用3D摄影测量网格自动检测小提琴宽度缩减的方法。比较了基于高程图构建的几何原始表示上应用的支持向量机与决策树，以及依赖参数化轮廓线拟合的更具针对性的特征工程方法。尽管高程图偶尔能取得显著效果，但其性能并未超越基于轮廓的输入方式。
URL
https://arxiv.org/abs/2604.02446
