TY - GEN
T1 - Impact of Geometry and Attribute Distortion in Subjective Quality of Point Clouds for G-PCC
AU - Chen, Zhang
AU - Wan, Shuai
AU - Yang, Fuzheng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - To better understand the effect of geometry and attribute distortion on the subjective quality of point clouds, we built a database with subjective quality scores for compressed point clouds. We analyzed the impact of geometry and attribute distortion to subjective quality. Our database, named the NWPU Point Cloud Quality Database (NWPU-PCQD), contains 817 point clouds with various geometry and attribute quantification distortions, which were subjectively evaluated using head-mounted displays (HMDs). Through correlation and significance analysis of the subjective quality scores, we observe that geometry and attribute quantization do not equally contribute to the overall subjective quality, where the effect of geometry quantization dominates. Moreover, there is an interaction between the geometry and attribute distortion. Our subjective database and findings are useful for point cloud processing, transmission, and compression.
AB - To better understand the effect of geometry and attribute distortion on the subjective quality of point clouds, we built a database with subjective quality scores for compressed point clouds. We analyzed the impact of geometry and attribute distortion to subjective quality. Our database, named the NWPU Point Cloud Quality Database (NWPU-PCQD), contains 817 point clouds with various geometry and attribute quantification distortions, which were subjectively evaluated using head-mounted displays (HMDs). Through correlation and significance analysis of the subjective quality scores, we observe that geometry and attribute quantization do not equally contribute to the overall subjective quality, where the effect of geometry quantization dominates. Moreover, there is an interaction between the geometry and attribute distortion. Our subjective database and findings are useful for point cloud processing, transmission, and compression.
KW - Point cloud compression
KW - Point clouds
KW - Subjective quality
UR - https://www.scopus.com/pages/publications/85184856146
U2 - 10.1109/VCIP59821.2023.10402708
DO - 10.1109/VCIP59821.2023.10402708
M3 - 会议稿件
AN - SCOPUS:85184856146
T3 - 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
BT - 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
Y2 - 4 December 2023 through 7 December 2023
ER -