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Visual Quality of 3D Meshes With Diffuse Colors in Virtual Reality: Subjective and Objective Evaluation
IEEE Transactions on Visualization and Computer Graphics
|November 9, 2020
Summary
Researchers developed a new metric to assess the visual quality of 3D meshes with color. This metric, based on mesh features, outperforms existing image quality metrics for predicting perceived quality in virtual reality.
Area of Science:
- Computer Graphics
- Multimedia Processing
- Perceptual Quality Assessment
Background:
- 3D meshes with color are increasingly used in virtual reality, offering realism and interactivity.
- Processing techniques like simplification and compression can degrade mesh quality, necessitating quality assessment methods.
- Existing quality metrics often fail to accurately predict perceived visual loss in 3D meshes.
Purpose of the Study:
- To introduce a large dataset of animated 3D meshes with associated perceived quality judgments.
- To propose and evaluate a novel, mesh-domain metric for assessing the quality of 3D meshes with diffuse colors.
- To investigate the impact of viewpoints and animations on perceived quality and metric performance.
Main Methods:
- Creation of a dataset with 480 animated meshes, distorted from 5 source models, with 11,520 quality judgments collected in VR.
- Development of a new quality assessment metric using mesh-domain, perceptually-relevant curvature and color features.
- Evaluation of the proposed metric and standard Image Quality Metrics (IQMs) on two datasets, including the impact of viewpoint information.
Main Results:
- The proposed mesh-domain metric shows good performance and superior stability compared to traditional IQMs.
- Subjective experiments revealed the influence of source models, animations, and viewpoints on perceived quality scores.
- Incorporating viewpoint information can potentially enhance the performance of objective quality metrics.
Conclusions:
- A novel, mesh-based quality assessment metric for 3D meshes with diffuse colors has been successfully developed and validated.
- The new metric offers a promising solution for predicting visual quality loss in 3D multimedia content.
- Understanding viewpoint dependency is crucial for improving objective quality assessment in 3D graphics.
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