Abstract

Recently, deep learning technologies for point cloud processing have drawn a lot of attention due to their wide range of emerging industrial applications and great research challenges. This talk first introduce the background of this topic, including the data format, application scenarios, and challenges, and then give a brief review of novel methods in this field. Finally, this talk presents our four recent interesting works and some experienced techniques, and also predicts the research trends on this topic for reference.