Different from 3D vision, 3D multimedia analytics mainly concentrate on fusing the 3D content with other media. Therefore, 3D multimedia analytics is one of the fundamental problems in multimedia understanding. The 3D multimedia (e.g., the videos and point cloud) can also help the agents to grasp, move and place the packages automatically in logistics picking systems. Researchers have strived to push the limits of 3D multimedia search and generation in various applications, such as autonomous driving, robotic visual navigation, smart industrial manufacturing, logistics distribution, and logistics picking. For example, the robots can manipulate objects successfully by recognizing the object via RGB frames and perceiving the object size via point cloud. 3D multimedia combines different content forms such as text, audio, images, and video with 3D information, which can perceive the world better since the real world is 3-dimensional instead of 2-dimensional. Today, ubiquitous multimedia sensors and large-scale computing infrastructures are producing at a rapid velocity of 3D multi-modality data, such as 3D point cloud acquired with LIDAR sensors, RGB-D videos recorded by Kinect cameras, meshes of varying topology, and volumetric data.
