Feature sensitive mesh segmentation

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Abstract
Segmenting meshes into natural regions is useful for model under- standing and many practical applications. In this paper, we present a novel, automatic algorithm for segmenting meshes into meaning- ful pieces. Our approach is a clustering-based top-down hierarchi- cal segmentation algorithm. We extend recent work on feature sen- sitive isotropic remeshing to generate a mesh hierarchy especially suitable for segmentation of large models with regions at multiple scales. Using integral invariants for estimation of local characteris- tics, our method is robust and efficient. Moreover, statistical quanti- ties can be incorporated, allowing our approach to segment regions with different geometric characteristics or textures.

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