at Google ScholarTitle data
Jakob, Johannes ; Buchenau, Christoph ; Guthe, Michael:
Parallel Globally Consistent Normal Orientation of Raw Unorganized Point Clouds.
In: Computer Graphics Forum.
Vol. 38
(2019)
Issue 5
.
- pp. 163-173.
ISSN 1467-8659
DOI: https://doi.org/10.1111/cgf.13797
Abstract in another language
A mandatory component for many point set algorithms is the availability of consistently oriented vertex-normals (e.g. for surface reconstruction, feature detection, visualization). Previous orientation methods on meshes or raw point clouds do not consider a global context, are often based on unrealistic assumptions, or have extremely long computation times, making them unusable on real-world data. We present a novel massively parallelized method to compute globally consistent oriented point normals for raw and unsorted point clouds. Built on the idea of graph-based energy optimization, we create a complete kNN-graph over the entire point cloud. A new weighted similarity criterion encodes the graph-energy. To orient normals in a globally consistent way we perform a highly parallel greedy edge collapse, which merges similar parts of the graph and orients them consistently. We compare our method to current state-of-the-art approaches and achieve speedups of up to two orders of magnitude. The achieved quality of normal orientation is on par or better than existing solutions, especially for real-world noisy 3D scanned data.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Additional notes: | Best Paper Award - Honorable
Mention |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science V > Professor Applied Computer Science V - Univ.-Prof. Dr. Michael Guthe Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science V |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 18 Jul 2019 08:42 |
| Last Modified: | 18 Jul 2019 08:42 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/51540 |