Rate Control for Geometry-Based LiDAR Point Cloud Compression via Multi-Factor Modeling

Lizhi Hou; Linyao Gao; Qian Zhang; Yiling Xu; Jenq-Neng Hwang; Dong Wang

doi:10.1109/tbc.2024.3475808

ScienceGate Book Chapters

JOURNAL ARTICLE

Rate Control for Geometry-Based LiDAR Point Cloud Compression via Multi-Factor Modeling

Lizhi Hou Linyao Gao Qian Zhang Yiling Xu Jenq-Neng Hwang Dong Wang

Year: 2024 Journal: IEEE Transactions on Broadcasting Vol: 71 (1)Pages: 167-179 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tbc.2024.3475808

Get Full-Text PDF Get Analytical Report

Keywords:

Lidar Point cloud Computer science Compression (physics) Factor (programming language) Data compression Geometry Remote sensing Geology Computer vision Materials science Mathematics

Metrics

Cited By

0.53

FWCI (Field Weighted Citation Impact)

Refs

0.58

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Computer Graphics and Visualization Techniques

Physical Sciences → Computer Science → Computer Graphics and Computer-Aided Design

Advanced Optical Sensing Technologies

Physical Sciences → Physics and Astronomy → Instrumentation

Rate Control for Geometry-Based LiDAR Point Cloud Compression via Multi-Factor Modeling

Metrics

Citation History

Topics

Related Documents

Frame-Level Rate Control for Geometry-Based LiDAR Point Cloud Compression

Rate-Distortion Optimized Geometry Compression for Spinning LiDAR Point Cloud

Content-Aware Rate Control for Geometry-Based Point Cloud Compression

Patch-Wise LiDAR Point Cloud Geometry Compression Based on Autoencoder

A Regularized Projection-Based Geometry Compression Scheme for LiDAR Point Cloud