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3DLF-Scan数据集:3D打印斯坦福数字的多传感器3D光场和结构光扫描

Bohdan Vodianyk¹, Anton Popov^2,3, Enrique Nava-Baro⁴

¹Universidad de Málaga, Escuela de Ingenierías Industriales, Dept. Ingeniería Mecánica y Eficiencia Energética, C/ Arquitecto Francisco Penalosa, 6, Málaga, Spain.

|March 11, 2026

概括

本研究介绍了3DLF-Scan,这是一种用于3D重建的新型多传感器数据集. 它具有用光场摄像头和3D扫描仪捕获的3D打印模型,非常适合对计算机视觉算法进行基准测试.

科学领域:

计算机视觉计算机视觉
3D重建的3D重建
机器人技术机器人技术机器人技术

背景情况:

对于各种应用,3D重建和深度估计至关重要.
现有的数据集往往缺乏多传感器集成或受控捕获条件.

研究的目的:

介绍3DLF-Scan,一个用于3D视觉研究的全面多传感器数据集.
促进新型3D重建和注册算法的开发和基准测试.

主要方法:

使用光场摄像头和结构光3D扫描仪获取3D打印的斯坦福模型.
控制的360°转盘捕捉与精确的姿势估计.
包括RGB图像,深度图,面具,点云和校准文件.

主要成果:

一个数据集,包含对正规模型的详细3D数据.
数据以标准格式组织,以便与3D视觉工具链兼容.
包括每视图深度完成和度量点云.

结论:

3DLF-Scan为推进多视图3D重建和交叉传感器注册提供了宝贵的资源.
该数据集支持深度完成和体积融合技术的研究.

关键词:

对象为中心的重建.全视镜成像技术的成像点云注册点云注册是什么意思从稀疏到密集的深度完成.桌面上的微型模型.卷度核聚变是指体积的核聚变.

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