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Waterloo-Point-Cloud-Database-3.0

This database was created by Qi Liu (sdqi.liu@gmail.com) and Honglei Su (suhonglei@qdu.edu.cn) from Qingdao University in 2021. We welcome everyone to carry on the test and propose the modification opinion. If you use our database ***************************** (a Google account required) in your paper, please cite our paper:

[1] Qi Liu, Honglei Su, Tianxin Chen, Hui Yuan and Raouf Hamzaoui. A No-reference Bitstream-layer Model for Perceptual Quality Assessment of V-PCC Encoded Point Clouds, submitted to IEEE Transactions on Multimedia.

BibTex:
@ARTICLE{9782549,
author={Liu, Qi and Su, Honglei and Chen, Tianxin and Yuan, Hui and Hamzaoui, Raouf},
journal={IEEE Transactions on Multimedia},
title={No-reference Bitstream-layer Model for Perceptual Quality Assessment of V-PCC Encoded Point Clouds},
year={2022},
volume={},
number={},
pages={1-1},
doi={10.1109/TMM.2022.3177926} }

The WPC3.0 database is composed of 350 V-PCC distorted point clouds and corresponding bitstreams whose original point clouds (Biscuits, Cake, Cauliflower, Litchi, Ping-pong_bat, Puertea, Pumpkin, Ship, Statue, Toolbox, Coffeecup, Crois-sant, Saltbox, Honeydewmelon) are from the WPC database https://github.com/qdushl/Waterloo-Point-Cloud-Database. Each original point cloud are encoded by 5 geometry (geo) QPs {26,32,38,44,50} and 5 texture (col) QPs {26,32,38,44,50} respectively. The rest of the encoding parameters are set with default values. The subjective test settings and raw data processing are the same as those in the WPC database.

-----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------ Copyright (c) 2021 The Qingdao University All rights reserved.

Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute this database (the polint cloud, the results and the source files) and its documentation for any purpose, provided that the copyright notice in its entirity appear in all copies of this database, and the original source of this database, Intelligent Multimedia Signal Processing (IMSP) Laboratory at Qingdao University, is acknowledged in any publication that reports research using this database.

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