Institut für Nachrichtentechnik
Univ.-Prof. Dr.-Ing. Alexander Raake
We are working, in the context of point cloud coding, on algorithms that enable their efficient compression and transmission. To this end, we are collaborating with the work group 7 of the ISO/IEC Moving Pictures Experts Group 3D Graphics Coding (3DG). As part of this work, we provide contributions to further develop current and future point cloud coding standards, like Video-based Point Cloud Coding (V-PCC) und Geometry-based Point Cloud Coding (G-PCC). Here are our specific research topics.
The very promising results provided by neural networks and machine learning will be play a major role in point cloud coding. That's why we investigate efficient methods, based on both machine learning and traditional coding tools, and try to combine the best results of the two worlds.
One of the defining characteristic of V-PCC is that the standard must operate independently from the chosen underlying video coder. That's why we investigate the extent, by which the choice of the video codec (HEVC being currently used as a reference) improves the compression gain. More specifically, we study the influence of specific algorithms and tools within a given video coding standard, in order to optimize them for the compression of V-PCC videos.
