| Conference/Proceedings | International Conference on Computer Vision Theory and Applications (VISAPP) |
| Start date | 05.01.2014 |
| End date | 08.01.2014 |
| Organisation | INSTICC |
| Publisher | SCITEPRESS Digital Library |
| Pages | 531-538 |
| Author(s) | Robert Skupin, Thilo Borgmann, Thomas Sikora |
| Title | Multiview Point Cloud Filtering for Spatiotemporal Consistency |
| Abstract | This work presents algorithms to resample and filter point cloud data reconstructed from multiple cameras and multiple time instants. In an initial resampling stage, a voxel or a surface mesh based approach resamples the point cloud data into a common sampling grid. Subsequently, the resampled data undergoes a filtering stage based on clustering to remove artifacts and achieve spatiotemporal consistency across cameras and time instants. The presented algorithms are evaluated in a view synthesis scenario. Results show that view synthesis with enhanced depth maps as produced by the algorithms leads to less artifacts than synthesis with the original source data. |
| Key words | multimedia analysis, Point Cloud Filtering, Multiview Resampling, Spatiotemporal Consistency |
| File | 1438Skupin2014.pdf |
| DOI | 10.5220/0004681805310538 |