Abstract
We introduce a complete morphological analysis framework for 3D point clouds. Starting from an unorganized point set sampling a surface, we propose morphological operators in the form of projections, allowing to sample erosions, dilations, closings and openings of an object without any explicit mesh structure. Our framework supports structuring elements with arbitrary shape, accounts robustly for geometric and morphological sharp features, remains efficient at large scales and comes together with a specific adaptive sampler. Based on this meshless framework, we propose applications which benefit from the non-linear nature of morphological analysis and can be expressed as simple sequences of our operators, including medial axis sampling, hysteresis shape filtering and geometry-preserving topological simplification.
| Original language | English |
|---|---|
| Article number | 45 |
| Journal | ACM Transactions on Graphics |
| Volume | 33 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
| Event | 41st International Conference and Exhibition on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2014 - Vancouver, BC, Canada Duration: 10 Aug 2014 → 14 Aug 2014 |
Keywords
- Morphology
- Point-based modeling
- Shape analysis