, 2021 Extension of the methods proposed in [1] and [2] to two GOPs [1] H. Yuan, R. Hamzaoui, F. Neri, S. Yang, Model-based rate-distortion optimized video-based point cloud compression with differential evolution, in: Proc.
Neri, Ferrante +3 more
core +1 more source
Weighted-loss-based Up-sampling for Point Cloud Occupancy Map Video [PDF]
Jisuanji kexueIn video-based point cloud compression(V-PCC),a 3D point cloud is divided into hundreds of patches and then mapped onto a 2D grid,generating a texture video that captures texture information and a geometry video that captures geometry information ...
CHEN Hang, LI Li, LIU Dong, LI Houqiang
doaj +1 more source
Object-based video representations: shape compression and object segmentation [PDF]
, 1998 Object-based video representations are considered to be useful for easing the process of multimedia content production and enhancing user interactivity in multimedia productions.
Brady, Noel
core +2 more sources
Reduced Reference Perceptual Quality Model with Application to Rate Control for Video-based Point Cloud Compression [PDF]
, 2021 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.In rate-distortion optimization, the encoder settings are determined by maximizing a reconstruction quality
Su, Honglei +5 more
core +1 more source
Efficient Dynamic Point Cloud Compression Through Adaptive Hierarchical Partitioning
IEEE AccessVideo-based Point Cloud Compression (V-PCC) is a dynamic point cloud coding standard that compresses 3D point clouds by projecting them into 2D frames, involving computationally intensive steps that can hinder real-time applications in augmented and ...
Faranak Tohidi +2 more
doaj +1 more source
2.5D Multi-View Gait Recognition Based on Point Cloud Registration [PDF]
, 2014 This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Tjahjadi, Tardi +7 more
core +1 more source
Presenting a Novel Pipeline for Performance Comparison of V-PCC and G-PCC Point Cloud Compression Methods on Datasets with Varying Properties [PDF]
, 2022 The increasing availability of 3D sensors enables an ever increasing amount of applications to utilize 3D captured content in the form of point clouds. Several promising methods for compressing point clouds have been proposed but lacks a unified method ...
Poulsen, Mathias Østergaard +7 more
core +1 more source
Advancing the Volumetric Analysis of Ultra‐Low‐Field Brain MRI Using Image‐to‐Image Translation
Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2458-2473, November 2026.ABSTRACT Purpose Ultra‐low‐field (ULF) MRI offers a promising path to accessible neuroimaging, with potential to address global healthcare disparities and advance population‐level brain health research. However, the inherently low signal‐to‐noise ratio (SNR), reduced spatial resolution, and altered tissue contrasts relative to conventional high‐field ...
Peter Hsu +3 more
wiley +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Quality Evaluation, Denoising and Inpainting for Point Clouds Compressed by V-PCC [PDF]
, 2021 Augmented reality (AR), virtual reality (VR) and immersive video, as emerging types of multimedia, have recently gained more and more attention. With the development of devices that can capture 3D content and a rapid increase of related applications, the
Cao, Keming
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