Results 21 to 30 of about 6,185,560 (237)
Efficient Quadtree Search for HEVC Coding Units for V-PCC
IEEE Access, 2021 Dynamic point clouds (DPC) are new media storage formats that allow end-users to watch objects/scenes in a three-dimensional (3D) sense. It can be displayed from different angles throughout time.
Ting-Lan Lin +7 more
doaj +1 more source
Deep Learning-based Point Cloud Geometry Coding with Resolution Scalability
, 2020 EISBN - 978-1-7281-9320-5Article number - 9287060; Conference date - 21 September 2020 - 24 September 2020; Conference code - 165866Point clouds are a 3D visual representation format that has recently become fundamentally important for immersive and ...
Guarda, André F. R. +2 more
core +1 more source
Video-based Point Cloud Compression Artifact Removal [PDF]
, 2021 Photo-realistic point cloud capture and transmission are the fundamental enablers for immersive visual communication. The coding process of dynamic point clouds, especially video-based point cloud compression (V-PCC) developed by the MPEG standardization
Gao, Wen +5 more
core +1 more source
Voxel-based Deep Point Cloud Geometry Compression
, 2021 International audienceWe present two learning-based methods for coding point clouds geometry. The two methods target lossy and lossless compression, respectively, and have in common the fact to use a voxel-based representation of geometry.
Dufaux, Frédéric +3 more
core +1 more source
Point cloud data compression [PDF]
, 2023 The rapid growth in the popularity of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) experiences have resulted in an exponential surge of three-dimensional data.
Gururajan, Ashwin Kumar
core +2 more sources
IEEE AccessAs immersive media gains increasing prominence, point clouds have emerged as a preferred data representation for presenting complex 3D scenes. However, the large size of point cloud data poses challenges in terms of storage and real-time transmission ...
Jui-Chiu Chiang +2 more
doaj +1 more source
LVAC: Learned volumetric attribute compression for point clouds using coordinate based networks
Frontiers in Signal Processing, 2022 We consider the attributes of a point cloud as samples of a vector-valued volumetric function at discrete positions. To compress the attributes given the positions, we compress the parameters of the volumetric function.
Berivan Isik +4 more
doaj +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Inactive Region Filling Method for Efficient Compression Using Reinforcement Learning
IEEE Access, 2023 Based on the massive advancements in modern hardware technologies, beyond high-resolution images, immersive and interactive videos have become an important next-generation technology.
Dongsin Kim, Kutub Uddin, Byung Tae Oh
doaj +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source