Predicting the perceptual quality of point cloud: A 3d-to-2d projection-based exploration
Point cloud is emerged as a promising media format to represent realistic 3D objects or
scenes in applications, such as virtual reality, teleportation, etc. How to accurately quantify …
scenes in applications, such as virtual reality, teleportation, etc. How to accurately quantify …
PQA-Net: Deep no reference point cloud quality assessment via multi-view projection
Recently, 3D point cloud is becoming popular due to its capability to represent the real world
for advanced content modality in modern communication systems. In view of its wide …
for advanced content modality in modern communication systems. In view of its wide …
Perceptual quality assessment of colored 3D point clouds
3D point clouds have found a wide variety of applications in multimedia processing, remote
sensing, and scientific computing. Although most point cloud processing systems are …
sensing, and scientific computing. Although most point cloud processing systems are …
No-reference quality assessment for 3d colored point cloud and mesh models
To improve the viewer's Quality of Experience (QoE) and optimize computer graphics
applications, 3D model quality assessment (3D-QA) has become an important task in the …
applications, 3D model quality assessment (3D-QA) has become an important task in the …
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 …
Point cloud denoising review: from classical to deep learning-based approaches
L Zhou, G Sun, Y Li, W Li, Z Su - Graphical Models, 2022 - Elsevier
Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of point cloud denoising techniques. In this article, we first provide a …
to the design of point cloud denoising techniques. In this article, we first provide a …
Roi-guided point cloud geometry compression towards human and machine vision
Point cloud data is pivotal in applications like autonomous driving, virtual reality, and
robotics. However, its substantial volume poses significant challenges in storage and …
robotics. However, its substantial volume poses significant challenges in storage and …
Viewpcgc: view-guided learned point cloud geometry compression
With the rise of immersive media applications such as digital museums, virtual reality, and
interactive exhibitions, point clouds, as a three-dimensional data storage format, have …
interactive exhibitions, point clouds, as a three-dimensional data storage format, have …
Pu-dense: Sparse tensor-based point cloud geometry upsampling
Due to the increased popularity of augmented and virtual reality experiences, the interest in
capturing high-resolution real-world point clouds has never been higher. Loss of details and …
capturing high-resolution real-world point clouds has never been higher. Loss of details and …
A reduced reference metric for visual quality evaluation of point cloud contents
Point cloud representation has seen a surge of popularity in recent years, thanks to its
capability to reproduce volumetric scenes in immersive scenarios. New compression …
capability to reproduce volumetric scenes in immersive scenarios. New compression …