Temporal Estimation of Non-Rigid Dynamic Human Point Cloud Sequence Using 3D Skeleton-Based Deformation for Compression

Temporal Estimation of Non-Rigid Dynamic Human Point Cloud Sequence Using 3D Skeleton-Based Deformation for Compression

This paper proposes an algorithm for transmitting and reconstructing the estimated point cloud by temporally estimating a dynamic point cloud sequence. When a non-rigid 3D point cloud sequence (PCS) is input, the sequence is divided into groups of point cloud frames (PCFs), and a key PCF is selected...

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Bibliographic Details
Main Authors: Jin-Kyum Kim, Ye-Won Jang, Sol Lee, Eui-Seok Hwang, Young-Ho Seo
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
dynamic point cloud
augmented reality
virtual reality
pose estimation
3D skeleton
deformation
Online Access:https://www.mdpi.com/1424-8220/23/16/7163

Internet

https://www.mdpi.com/1424-8220/23/16/7163

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