地测PSIM:通过地测补丁相似性通过纹理地图预测静态网格的质量.
概括
一个新的指标Geodesic Patch Similarity (GeodesicPSIM) 准确地预测了纹理3D网格的感知质量. 这种基于模型的方法考虑了几何和颜色,优于现有的方法.
科学领域:
- 计算机图形 计算机图形
- 计算机视觉 计算机视觉
- 多媒体处理处理.
背景情况:
- 静态网格与纹理图的客观质量评估对于工业和学术应用至关重要.
- 现有的基于模型的指标经常忽略颜色信息或具有严格的拓约束.
- 基于图像和基于点的指标容易受到预处理工件的影响.
研究的目的:
- 提出地质贴片相似性 (GeodesicPSIM),这是一个基于模型的新型度量,用于准确地预测人类对静态网格的感知质量,使用纹理图.
- 通过结合几何和颜色信息来解决现有指标的局限性.
- 为纹理3D模型开发一个强大而有效的客观质量评估方法.
主要方法:
- 使用选定的关键点和网格清理算法,从参考和扭曲的网格构建 1-hop 地测补丁.
- 使用两步补丁裁剪和纹理映射模块来改进补丁,并将几何与颜色信息集成在一起.
- 提取三个特征:补丁颜色的光滑度,离散平均曲率和像素颜色的平均/变异.
主要成果:
- 在一个新的具有挑战性的数据库上,PSIM展示了与基于图像,基于点和基于视频的指标相比的最先进的性能.
- 该指标显示了跨不同超参数设置的稳定性.
- 除研究证实了拟议的特征和补丁裁剪算法的有效性.
结论:
- 地测PSIM是第一个基于模型的度量,专门设计用于与纹理图的静态网格.
- 拟议的度量准确地预测感知质量,有效地利用几何和纹理信息.
- 地测PSIM为3D图形中的客观质量评估提供了强大而准确的解决方案.
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