2002
DOI: 10.1016/s0097-8493(02)00128-0
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Polyhedral surface decomposition with applications

Abstract: This paper addresses the problem of decomposing a polyhedral surface into "meaningful" patches. We describe two decomposition algorithms -flooding convex decomposition and watershed decomposition, and show experimental results. Moreover, we discuss three applications which can highly benefit from surface decomposition. These applications include content-based retrieval of threedimensional models, metamorphosis of three-dimensional models and simplification.

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Cited by 143 publications
(82 citation statements)
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“…al. [48] extract the segmentation areas with a flooding of the dual graph. Specifically, their segmentation technique begins from a node traversing the graph using a Depth First or Breadth First Search.…”
Section: Part-based Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation
“…al. [48] extract the segmentation areas with a flooding of the dual graph. Specifically, their segmentation technique begins from a node traversing the graph using a Depth First or Breadth First Search.…”
Section: Part-based Algorithmsmentioning
confidence: 99%
“…al. [48] use the edges of the triangles to flow to the minimum. By this method, a better segmentation is achieved in some cases where the vertices of the input mesh might not be dense enough to define the catchment basins.…”
Section: Surface-based Algorithmsmentioning
confidence: 99%
“…As the focus of this paper is characterization of PCMS, our scope of review is limited to closely related works. The readers are referred to [2,7,24,19,27,21] about general mesh segmentation approaches. The importance of the PCMS has been highlighted in some recent works [8,16,23,25,11] .…”
Section: Brief Review Of Related Workmentioning
confidence: 99%
“…by sweep plane algorithms [10] comparable to the algorithm presented here, by flooding algorithms where adjacent surface triangles are collected for each patch until convexity is violated [10,17], or by repeatedly splitting the object in areas of concavity [11,3,23,21]. Such decompositions consist of a large number of volume parts, which can be reduced by allowing small concavities in the parts [41,23]. However, these nearly complex decompositions still contain more parts than necessary for our purpose.…”
Section: Introductionmentioning
confidence: 99%