Mesh Segmentation via Spectral Embedding and Contour Analysis
dc.contributor.author | Liu, Rong | en_US |
dc.contributor.author | Zhang, Hao | en_US |
dc.date.accessioned | 2015-02-21T15:41:36Z | |
dc.date.available | 2015-02-21T15:41:36Z | |
dc.date.issued | 2007 | en_US |
dc.description.abstract | We propose a mesh segmentation algorithm via recursive bisection where at each step, a sub-mesh embedded in 3D is first spectrally projected into the plane and then a contour is extracted from the planar embedding. We rely on two operators to compute the projection: the well-known graph Laplacian and a geometric operator designed to emphasize concavity. The two embeddings reveal distinctive shape semantics of the 3D model and complement each other in capturing the structural or geometrical aspect of a segmentation. Transforming the shape analysis problem to the 2D domain also facilitates our segmentability analysis and sampling tasks. We propose a novel measure of the segmentability of a shape, which is used as the stopping criterionfor our segmentation. The measure is derived from simple area- and perimeter-based convexity measures. We achieve invariance to shape bending through multi-dimensional scaling (MDS) based on the notion of inner distance. We also utilize inner distances to develop a novel sampling scheme to extract two samples along a contour which correspond to two vertices residing on different parts of the sub-mesh. The two samples are used to derive a spectral linear ordering of the mesh faces. We obtain a final cut via a linear search over the face sequence based on part salience, where a choice of weights for different factors of part salience is guided by the result from segmentability analysis. | en_US |
dc.description.number | 3 | en_US |
dc.description.seriesinformation | Computer Graphics Forum | en_US |
dc.description.volume | 26 | en_US |
dc.identifier.doi | 10.1111/j.1467-8659.2007.01061.x | en_US |
dc.identifier.issn | 1467-8659 | en_US |
dc.identifier.pages | 385-394 | en_US |
dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2007.01061.x | en_US |
dc.publisher | The Eurographics Association and Blackwell Publishing Ltd | en_US |
dc.title | Mesh Segmentation via Spectral Embedding and Contour Analysis | en_US |