Improved Video-Based Point Cloud Compression via Segmentation [PDF]
SensorsA point cloud is a representation of objects or scenes utilising unordered points comprising 3D positions and attributes. The ability of point clouds to mimic natural forms has gained significant attention from diverse applied fields, such as virtual ...
Faranak Tohidi +3 more
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Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression
Sensors, 2021 In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been
Emil Dumic +2 more
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3D Motion Estimation and Compensation Method for Video-Based Point Cloud Compression
IEEE Access, 2020 A point cloud visualizes information by placing a voxel with a color value and a position value in a three-dimensional space. Since a point cloud uses hundreds of thousands or millions of points to visualize information, a large number of bits is needed ...
Junsik Kim +3 more
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Performance Evaluation of the Codec Agnostic Approach in MPEG-I Video-Based Point Cloud Compression
IEEE Access, 2021 In this study, we evaluated the codec agnostic approach of video-based point cloud compression (V-PCC) by applying several video codecs to V-PCC. The main concept of V-PCC is to use a video codec to compress the 2D patch images generated from a 3D point ...
Tianyu Dong, Kyutae Kim, Euee S. Jang
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Fast Grid-Based Refining Segmentation Method in Video-Based Point Cloud Compression
IEEE Access, 2021 The video-based point cloud compression (V-PCC, ISO/IEC 23090-5) is the state-of-the-art international standard for compressing dynamic point clouds developed by the moving picture experts group (MPEG).
Jieon Kim, Yong-Hwan Kim
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Optimized quantization parameter selection for video-based point cloud compression
Frontiers in Signal ProcessingPoint clouds are sets of points used to visualize three-dimensional (3D) objects. Point clouds can be static or dynamic. Each point is characterized by its 3D geometry coordinates and attributes such as color.
Hui Yuan +6 more
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Sensors, 2022 As a kind of information-intensive 3D representation, point cloud rapidly develops in immersive applications, which has also sparked new attention in point cloud compression. The most popular dynamic methods ignore the characteristics of point clouds and
Siyang Yu +4 more
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Denoising and Inpainting for Point Clouds Compressed by V-PCC
IEEE Access, 2021 With the development of immersive video, the quality of compressed 3D content has become an important issue. Video-based Point Cloud Compression (V-PCC) is a popular compression method for point cloud sequences; it achieves the highest quality among MPEG
Keming Cao, Pamela Cosman
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Patch Re-Segmentation and Packing for Dynamic Point Cloud Compression via Back-and-Forth Structure
IEEE Open Journal of Signal Processing, 2022 The dynamic point cloud is widely needed in 3D vision related applications such as virtual reality and telepresence. Due to the huge amount of data, a key technology before the effective application is the dynamic point cloud compression.
Haoyu Shi, Fan Li
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Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
Sensors, 2023 This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds.
Emil Dumic, Luis A. da Silva Cruz
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