QAVA-DPC: Eye-Tracking Based Quality Assessment and Visual Attention Dataset for Dynamic Point Cloud in 6 DoF
Author:
Affiliation:
1. TU Delft,Centrum Wiskunde & Informatica
2. Centrum Wiskunde & Informatica
3. TNO Netherlands Organisation for Applied Scientific Research
Funder
Horizon Europe
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10316350/10316351/10316522.pdf?arnumber=10316522
Reference50 articles.
1. Subjective and objective quality assessment for volumetric video
2. A comprehensive study of the rate-distortion performance in MPEG point cloud compression
3. Towards Modelling of Visual Saliency in Point Clouds for Immersive Applications
4. GazeMetrics: An Open-Source Tool for Measuring the Data Quality of HMD-based Eye Trackers
5. A morphing-Based 3D point cloud reconstruction framework for medical image processing
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1. Enhancing Immersive Experiences through 3D Point Cloud Analysis: A Novel Framework for Applying 2D Visual Saliency Models to 3D Point Clouds;2024 16th International Conference on Quality of Multimedia Experience (QoMEX);2024-06-18
2. Perceptual Impact of Facial Quality in MPEG V-PCC-encoded Volumetric Videos;Proceedings of the 16th International Workshop on Immersive Mixed and Virtual Environment Systems;2024-04-15
3. Quality Assessment and Modeling for MPEG V-PCC Volumetric Video;Proceedings of the 16th International Workshop on Immersive Mixed and Virtual Environment Systems;2024-04-15
4. Pointpca+: A Full-Reference Point Cloud Quality Assessment Metric with Pca-Based Features;2024
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