Name
Abstract | ||
|---|---|---|
We investigate topological descriptors for 3D surface analysis, i.e. the classification of surfaces according to their geometric fine structure. On a dataset of high-resolution 3D surface reconstructions we compute persistence diagrams for a 2D cubical filtration. In the next step we investigate different topological descriptors and measure their ability to discriminate structurally different 3D surface patches. We evaluate their sensitivity to different parameters and compare the performance of the resulting topological descriptors to alternative non-topological descriptors. We present a comprehensive evaluation that shows that topological descriptors are i robust, ii yield state-of-the-art performance for the task of 3D surface analysis and iii improve classification performance when combined with non-topological descriptors. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-39441-1_8 | CTIC |
Keywords | DocType | Volume |
3D surface classification, Surface topology analysis, Surface representation, Persistence diagram, Persistence images | Conference | abs/1601.06057 |
ISSN | Citations | PageRank |
0302-9743 | 3 | 0.46 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Zeppelzauer | 1 | 186 | 21.35 |
| Bartosz Zielinski 0001 | 2 | 8 | 3.60 |
| Mateusz Juda | 3 | 12 | 2.74 |
| Markus Seidl | 4 | 30 | 4.36 |