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SynthOutdoor:用于3D户外光线估计的合成数据集
Marcello Zanardelli1, Mahyar G Moghaddam1, Riccardo Leonardi1
1Department of Information Engineering, CNIT - University of Brescia, Via Branze, 38, 25133 Brescia, Italy.
Data in brief
|July 29, 2024
概括
研究人员介绍了SynthOutdoor,这是一个用于3D光方向估计的新数据集. 这个数据集通过提供多样化的照明和详细的场景信息来帮助计算机视觉任务.
科学领域:
- 计算机视觉 计算机视觉
- 计算机图形 计算机图形
- 机器学习 机器学习
背景情况:
- 准确的3D光方向估计对于现实的染和场景理解至关重要.
- 现有的数据集往往缺乏照明条件的多样性或远距离照明场景的全面地面真相.
研究的目的:
- 介绍SynthOutdoor,一个新的,大规模的合成数据集用于3D光方向估计.
- 解决估计远距离光源的数据短缺问题,并提供丰富的地面真相信息.
主要方法:
- 使用基于Unity3D的软件生成了39,086张高分辨率图像的数据集.
- 模拟太阳循环以捕捉不同的照明条件.
- 提供了包括3D光方向,颜色强度,环境光,实例细分面具和表面正常值在内的地面真相.
主要成果:
- SynthOutdoor数据集提供了用于3D光方向估计的全面数据.
- 数据集包括详细的场景几何和语义信息.
- 能够进行超越光线估计的研究,包括3D几何和阴影.
结论:
- SynthOutdoor是推动3D光方向和场景理解研究的宝贵资源.
- 数据集的丰富注释方便了计算机视觉和图形的更广泛应用.
- 数据集和生成软件的公开可用性促进了进一步的研究和开发.
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