Lossy Point Cloud Geometry Compression via End-to-End Learning
نویسندگان
چکیده
منابع مشابه
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality. To interface a highly sparse LiDAR point cloud with a region proposal network (RPN), most existing efforts have focused on hand-crafted feature representations, for example, a bird’s eye view projection. In this work, we r...
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ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2021
ISSN: 1051-8215,1558-2205
DOI: 10.1109/tcsvt.2021.3051377