Shape segmentation by hierarchical splat clustering
H Zhang, C Li, L Gao, S Li, G Wang - Computers & Graphics, 2015 - Elsevier
This paper presents a novel hierarchical shape segmentation method based on splats for
3D shapes. The major contribution is to propose a new similarity metric based on splats,
which combines patch-aware similarity and part-aware similarity adaptively. An optimized L
2, 1 metric for VSA (variational shape approximation) method is used to get splats first, and
such adaptive similarity metric is used to generate a hierarchy of components automatically
through adaptive cluster. As a result, a binary tree is used to represent the hierarchy, in …
3D shapes. The major contribution is to propose a new similarity metric based on splats,
which combines patch-aware similarity and part-aware similarity adaptively. An optimized L
2, 1 metric for VSA (variational shape approximation) method is used to get splats first, and
such adaptive similarity metric is used to generate a hierarchy of components automatically
through adaptive cluster. As a result, a binary tree is used to represent the hierarchy, in …
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