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…
Gaze direction serves as a pivotal indicator for assessing the level of driver attention. While image-based gaze estimation has been extensively researched, there has been a recent shift towards capturing gaze direction from video sequences. This approach encounters notable challenges, including the…
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…