3 accepted papers
High-quality LiDAR point cloud (LPC) compression is essential for the storage and transmission of 3D data. The octree-structured entropy codec has emerged as the predominant method; however, previous methods do not fully utilize spatial contextual information, due to the loss of local features cause…
Point cloud compression is an essential technology for efficient storage and transmission of 3D data. Previous methods usually use hierarchical tree data structures for encoding the spatial sparseness of point clouds. However, the node context within the tree is not fully discovered since the featur…
Point cloud compression with a higher compression ratio and tiny loss is essential for efficient data transportation. However, previous methods that depend on 3D convolution or frequent multi-head self-attention operations bring huge computations. To address this problem, we propose an octree-based…