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感知质量评估的三方升起编码3D点云的感知质量评估
IEEE transactions on visualization and computer graphics
|November 5, 2025
概括
我们介绍了streamPCQ-TL,这是第一个无参考位流层点云质量评估 (PCQA) 模型,用于Trisoup-Lifting编码数据. 它允许实时监控而不需要完全解码.
科学领域:
- 计算机视觉 计算机视觉
- 多媒体信号处理处理.
- 3D 图形 3D 图形
背景情况:
- 无参考点云质量评估 (PCQA) 对于网络实时监控至关重要.
- 现有的方法通常需要完全解码,限制实时应用.
- 三提升是一种新兴的编码方法,用于3D点云.
研究的目的:
- 开发第一个无参考 (NR) 位流层PCQA模型,用于Trisoup-Lifting编码点云.
- 实现质量评估,而无需完全解码,用于实时网络监控.
- 建立一个专门的基准数据库,用于Trisoup-Lifting PCQA.
主要方法:
- 通过无损几何编码研究了纹理每点比特率 (TBPP),纹理复杂性 (TC) 和纹理量化参数 (TQP) 之间的关系.
- 使用TQP和TBPP估计了TC,然后开发了一个纹理扭曲模型.
- 整合了纹理扭曲模型与几何衰减因子 (基于trisoupNodeSizeLog2,tNSL) 来创建流PCQ-TL模型.
主要成果:
- 开发了streamPCQ-TL,这是一个全面的NR比特流层PCQA模型,用于Trisoup-Lifting.
- 创建了WPC6.0,这是Trisoup-Lifting的第一个PCQA数据库,包含400个扭曲的点云.
- 在多个数据集上,StreamPCQ-TL与现有指标相比表现强,计算成本明显降低.
结论:
- 流PCQ-TL模型为Trisoup-Lifting编码点云提供了有效和高效的实时质量评估.
- WPC6.0数据库是未来在这一领域的研究的宝贵资源.
- 拟议的方法推进了NR比特流层PCQA,用于新兴的3D数据压缩技术.
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