conference paper

Conference/ProceedingsInternational Conference on Computer Vision Theory and Applications (VISAPP)
Start date05.01.2014
End date08.01.2014
PublisherSCITEPRESS Digital Library
Author(s)Robert Skupin, Thilo Borgmann, Thomas Sikora
TitleMultiview Point Cloud Filtering for Spatiotemporal Consistency
AbstractThis 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 wordsPoint Cloud Filtering, Multiview Resampling, Spatiotemporal Consistency