Efficient projected frame padding for video-based point cloud compression
The state-of-the-art 2D-based dynamic point cloud (DPC) compression algorithm is the
video-based point cloud compression (V-PCC) developed by the Moving Pictures Experts …
video-based point cloud compression (V-PCC) developed by the Moving Pictures Experts …
Advanced 3D motion prediction for video-based dynamic point cloud compression
Point cloud-based immersive media representation format has provided many opportunities
for extended reality applications and has become widely used in volumetric content …
for extended reality applications and has become widely used in volumetric content …
Occupancy map guided fast video-based dynamic point cloud coding
In video-based dynamic point cloud compression (V-PCC), 3D point clouds are projected
into patches, and then the patches are padded into 2D images suitable for the video …
into patches, and then the patches are padded into 2D images suitable for the video …
Occupancy-map-based rate distortion optimization and partition for video-based point cloud compression
The video-based point cloud compression (V-PCC) is the state-of-the-art dynamic point
cloud compression method developed by the Moving Pictures Experts Group (MPEG). It …
cloud compression method developed by the Moving Pictures Experts Group (MPEG). It …
Convolutional neural network-based occupancy map accuracy improvement for video-based point cloud compression
In video-based point cloud compression (V-PCC), a dynamic point cloud is projected onto
geometry and attribute videos patch by patch for compression. In addition to the geometry …
geometry and attribute videos patch by patch for compression. In addition to the geometry …
Efficient geometry surface coding in V-PCC
In recent video-based point cloud compression (V-PCC), 3D point clouds are projected onto
2D images and compressed by High-Efficiency Video Coding (HEVC). However, HEVC was …
2D images and compressed by High-Efficiency Video Coding (HEVC). However, HEVC was …
Motion estimation and coding structure for inter-prediction of LiDAR point cloud geometry
In this paper, we investigate two fundamental problems of inter-prediction for Light Detection
and Ranging (LiDAR) point cloud geometries: motion estimation (ME) and coding structure …
and Ranging (LiDAR) point cloud geometries: motion estimation (ME) and coding structure …
Plenoptic point cloud compression using multiview extension of high efficiency video coding
Plenoptic point clouds are more complete representations of three-dimensional (3-D)
objects than single-color point clouds, as they can have multiple colors per spatial point …
objects than single-color point clouds, as they can have multiple colors per spatial point …
Point Cloud Geometry Compression Based on Multi-Layer Residual Structure
J Yu, J Wang, L Sun, ME Wu, Q Zhu - Entropy, 2022 - mdpi.com
Point cloud data are extensively used in various applications, such as autonomous driving
and augmented reality since it can provide both detailed and realistic depictions of 3D …
and augmented reality since it can provide both detailed and realistic depictions of 3D …
Video-based point cloud compression artifact removal based on the geometry video enhancement
F Wu, L Shen, T Chen, F Wang - Journal of Electronic Imaging, 2024 - spiedigitallibrary.org
Video-based point cloud compression projects dynamic point clouds to 2D videos called
geometry videos and texture videos for compression and transmission. In the geometry …
geometry videos and texture videos for compression and transmission. In the geometry …