دورية أكاديمية
Joint Geometry and Color Projection-Based Point Cloud Quality Metric
العنوان: | Joint Geometry and Color Projection-Based Point Cloud Quality Metric |
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المؤلفون: | Alireza Javaheri, Catarina Brites, Fernando Pereira, Joao Ascenso |
المصدر: | IEEE Access, Vol 10, Pp 90481-90497 (2022) |
بيانات النشر: | IEEE, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Electrical engineering. Electronics. Nuclear engineering |
مصطلحات موضوعية: | Coding, degradation, point cloud, projection, quality assessment, recoloring, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
الوصف: | Point cloud coding solutions have been recently standardized to address the needs of multiple application scenarios. The design and assessment of point cloud coding methods require reliable objective quality metrics to evaluate the level of degradation introduced by compression or any other type of processing. Several point cloud objective quality metrics have been recently proposed to reliably estimate human perceived quality, including the so-called projection-based metrics. In this context, this paper proposes a joint geometry and color projection-based point cloud objective quality metric which solves the critical weakness of this type of quality metrics, i.e., the misalignment between the reference and degraded projected images. Moreover, the proposed point cloud quality metric exploits the best performing 2D quality metrics in the literature to assess the quality of the projected images. The experimental results show that the proposed projection-based quality metric offers the best subjective-objective correlation performance in comparison with other metrics in the literature. The Pearson correlation gains regarding D1-PSNR and D2-PSNR metrics range between ~5% to ~70% on three different datasets when data with all coding degradations is considered. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2169-3536 |
Relation: | https://ieeexplore.ieee.org/document/9857859/; https://doaj.org/toc/2169-3536 |
DOI: | 10.1109/ACCESS.2022.3198995 |
URL الوصول: | https://doaj.org/article/b71a43f73bf749a5a50f509d3221d1dd |
رقم الأكسشن: | edsdoj.b71a43f73bf749a5a50f509d3221d1dd |
قاعدة البيانات: | Directory of Open Access Journals |
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