JPEG Pleno Point Cloud
Point Clouds (PC) are one of the most promising technologies for 3D content representation. This is evidenced by considering the strong adoption of PC data and processing in different technological solutions. PC data is defined by a set of data points in a given, often 3D, coordinate system. Such data sets are usually acquired with a 3D scanner or LIDAR and can subsequently be used to represent and render 3D surfaces. Combined with other sources of data, like light field data, point clouds open a wide range of new opportunities for immersive browsing and virtual reality applications.
However, PCs are usually represented by huge amounts of data, making their manipulation difficult and inefficient. Hence, reliable methods for PC compression are required. JPEG Pleno intends to provide representation and compression mechanisms to this promising type of data.
The final Call for Evidence (CfE) on JPEG Pleno Point Cloud Coding was issued during the 88th JPEG meeting in July 2020. Associated with this call are the JPEG Pleno Point Cloud – Use Cases and Requirements document and the JPEG Pleno Point Cloud Coding Common Test Conditions document.