Volumetric video (or hologram video), the medium for representing natural content in VR/AR/MR, is presumably next generation of technology and a typical use case 5G beyond wireless communications. To realize volumetric applications, efficient streaming critical demand. This article responds to challenges proposes solutions transmission systems point cloud video, which most popular favored way r...

In this paper, a subjective quality based comparison between four point clouds codecs is presented. For that, set of six was chosen. They were coded with different cloud encoding solutions, notably the MPEG V-PCC and G-PCC, deep learning coding solution RS-DLPCC also Draco, bit rates. A test where distorted reference rotated in video sequence side by followed evaluation, conducted. Then perform...

High spatial resolution and fast capturing possibilities make 3D terrestrial laser scanners widely used in engineering applications and cultural heritage recording. Phase based laser scanners can measure distances to object surfaces with a precision in the order of a few millimeters at ranges between 1 and 80 m. However, the quality of a laser scanner end-product, like a 3D model, is influenced...

Predicting the future can significantly improve safety of intelligent vehicles, which is a key component in autonomous driving. 3D point clouds accurately model information surrounding environment and are crucial for vehicles to perceive scene. Therefore, prediction has great significance be utilized numerous further applications. However, due unordered unstructured, cloud challenging not been ...

Understanding 3D scenes is a critical prerequisite for autonomous agents. Recently, LiDAR and other sensors have made large amounts of data available in the form temporal sequences point cloud frames. In this work, we propose novel problem—sequential scene flow estimation (SSFE)—that aims to predict all pairs clouds given sequence. This unlike previously studied problem which focuses on two We ...