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Progressive Medial Axis Filtration

Abstract : The Scale Axis Transform provides a parametric simplification of the Medial Axis of a 3D shape which can be seen as a hierarchical description. However, this powerful shape analysis method has a significant computational cost, requiring several minutes for a single scale on a mesh of few thousands vertices. Moreover, the scale axis can be artificially complexified at large scales, introducing new topological structures in the simplified model. In this paper, we propose a progressive medial axis simplification method inspired from surface optimization techniques which retains the geometric intuition of the scale axis transform. We compute a hierarchy of simplified medial axes by means of successive edge-collapses of the input medial axis. These operations prevent the creation of artificial tunnels that can occur in the original scale axis transform. As a result, our progressive simplification approach allows to compute the complete hierarchy of scales in a few seconds on typical input medial axes. We show how this variation of the scale axis transform impacts the resulting medial structure.
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Submitted on : Monday, February 16, 2015 - 2:13:27 PM
Last modification on : Tuesday, October 19, 2021 - 11:15:16 AM


  • HAL Id : hal-01117112, version 1



Noura Faraj, Jean-Marc Thiery, Tamy Boubekeur. Progressive Medial Axis Filtration. ACM SIGGRAPH Asia 2013 - Technical Briefs Program, Nov 2013, Hong Kong, China. pp.Art. 3. ⟨hal-01117112⟩



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