Digital topology: introduction and survey
Computer Vision, Graphics, and Image Processing
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A New Topological Classification of Points in 3D Images
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Some Structural Properties of Discrete Surfaces
DGCI '97 Proceedings of the 7th International Workshop on Discrete Geometry for Computer Imagery
Automatic Adjustment of Rigs to Extracted Skeletons
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Generation of Unit-Width Curve Skeletons Based on Valence Driven Spatial Median (VDSM)
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Adjusting animation rigs to human-like 3D models
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
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We present a method for mesh segmentation based on volume representation and the so called skeleton graph. In this method, the triangle mesh is first trans-formed into a voxel representation. A thinning algorithm based on our definition of a local neighborhood is employed to extract a voxel skeleton which is then transformed into a graph representation. The branching points of this graph are used to define the segmentation of the mesh.This article focuses on the data structure used to manage the voxel set and the extension of the neighborhood concept that allows to distinguish be-tween local and global neighborhoods. Our rasteriza-tion is not based on equilateral cells, leading to an efficient data structure in terms of memory usage.