Spectral-based mesh segmentation

In design and manufacturing, mesh segmentation is required for FACE construction in boundary representation (BRep), which in turn is central for featurebased design, machining, parametric CAD and reverse engineering, among others -- Although mesh segmentation is dictated by geometry and topology, this article focuses on the topological aspect (graph spectrum), as we consider that this tool has not been fully exploited -- We preprocess the mesh to obtain a edgelength homogeneous triangle set and its Graph Laplacian is calculated -- We then produce a monotonically increasing permutation of the Fiedler vector (2nd eigenvector of Graph Laplacian) for encoding the connectivity among part feature submeshes -- Within the mutated vector, discontinuities larger than a threshold (interactively set by a human) determine the partition of the original mesh -- We present tests of our method on large complex meshes, which show results which mostly adjust to BRep FACE partition -- The achieved segmentations properly locate most manufacturing features, although it requires human interaction to avoid over segmentation -- Future work includes an iterative application of this algorithm to progressively sever features of the mesh left from previous submesh removals

• Autores: Mejía, Daniel; Cadavid, Carlos A.; Ruíz-Salguero, Óscar
• Fecha de publicación: 2016
• Institución: Universidad EAFIT
• Repositorio: Repositorio EAFIT
• Idioma: eng
• OAI Identifier: oai:repository.eafit.edu.co:10784/9543
• Acceso en línea: http://hdl.handle.net/10784/9543
• Palabra clave: ANÁLISIS ESPECTRAL; TRANSFORMACIONES DE LAPLACE; Spectrum analysis; Laplace transformation; Vector analysis; Spectrum analysis; Laplace transformation; Vector analysis; Ingeniería inversa; Sistemas CAD/CAM; Vector de Fiedler; Segmentación espectral
• License: Acceso cerrado