Point cloud quality assessment: Dataset construction and learning-based no-reference metric
Full-reference (FR) point cloud quality assessment (PCQA) has achieved impressive
progress in recent years. However, in many cases, obtaining the reference point clouds is …
progress in recent years. However, in many cases, obtaining the reference point clouds is …
Bitstream-based perceptual quality assessment of compressed 3d point clouds
With the increasing demand of compressing and streaming 3D point clouds under
constrained bandwidth, it has become ever more important to accurately and efficiently …
constrained bandwidth, it has become ever more important to accurately and efficiently …
New challenges in point cloud visual quality assessment: a systematic review
The compression, transmission and rendering of point clouds is essential for many use
cases, notably immersive experience settings in eXtended Reality, telepresence and real …
cases, notably immersive experience settings in eXtended Reality, telepresence and real …
Perceptually weighted rate distortion optimization for video-based point cloud compression
Y Zhang, K Ding, N Li, H Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic point cloud is a volumetric visual data representing realistic 3D scenes for virtual
reality and augmented reality applications. However, its large data volume has been the …
reality and augmented reality applications. However, its large data volume has been the …
PointPCA: Point cloud objective quality assessment using PCA-based descriptors
Point clouds denote a prominent solution for the representation of 3D photo-realistic content
in immersive applications. Similarly to other imaging modalities, quality predictions for point …
in immersive applications. Similarly to other imaging modalities, quality predictions for point …
Once-training-all-fine: No-reference point cloud quality assessment via domain-relevance degradation description
Full-reference (FR) point cloud quality assessment (PCQA) has achieved impressive
progress in recent years. However, as reference point clouds are not available in many …
progress in recent years. However, as reference point clouds are not available in many …
No-reference 3d point cloud quality assessment using multi-view projection and deep convolutional neural network
Digital representation of 3D content in the form of 3D point clouds (PC) has gained
increasing interest and has emerged in various computer vision applications. However …
increasing interest and has emerged in various computer vision applications. However …
Pose-Driven Compression for Dynamic 3D Human via Human Prior Models
To cost-effectively transmit high-quality dynamic 3D human images in immersive multimedia
applications, efficient data compression is crucial. Unlike existing methods that focus on …
applications, efficient data compression is crucial. Unlike existing methods that focus on …
Characterization of the Quality of Experience and Immersion of Point Cloud Video Sequences through a Subjective Study
Point cloud streaming has recently attracted research attention as it has the potential to
provide six degrees of freedom movement, which is essential for truly immersive media. The …
provide six degrees of freedom movement, which is essential for truly immersive media. The …
Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds
No-reference bitstream-layer point cloud quality assessment (PCQA) can be deployed
without full decoding at any network node to achieve real-time quality monitoring. In this …
without full decoding at any network node to achieve real-time quality monitoring. In this …