تقرير
Full-reference Point Cloud Quality Assessment Using Spectral Graph Wavelets
| العنوان: | Full-reference Point Cloud Quality Assessment Using Spectral Graph Wavelets |
|---|---|
| المؤلفون: | Watanabe, Ryosuke, Nonaka, Keisuke, Pavez, Eduardo, Kobayashi, Tatsuya, Ortega, Antonio |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Computer Science - Multimedia, Electrical Engineering and Systems Science - Signal Processing |
| الوصف: | Point clouds in 3D applications frequently experience quality degradation during processing, e.g., scanning and compression. Reliable point cloud quality assessment (PCQA) is important for developing compression algorithms with good bitrate-quality trade-offs and techniques for quality improvement (e.g., denoising). This paper introduces a full-reference (FR) PCQA method utilizing spectral graph wavelets (SGWs). First, we propose novel SGW-based PCQA metrics that compare SGW coefficients of coordinate and color signals between reference and distorted point clouds. Second, we achieve accurate PCQA by integrating several conventional FR metrics and our SGW-based metrics using support vector regression. To our knowledge, this is the first study to introduce SGWs for PCQA. Experimental results demonstrate the proposed PCQA metric is more accurately correlated with subjective quality scores compared to conventional PCQA metrics. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.09762 |
| رقم الأكسشن: | edsarx.2406.09762 |
| قاعدة البيانات: | arXiv |
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