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结构光3D扫描仪模拟数据集

Michał Własiuk1, Robert Sitnik1

  • 1The Faculty of Mechatronics, Warsaw University of Technology, ul. św. Andrzeja Boboli 8, Warsaw, Poland.

Data in brief
|February 24, 2026
PubMed
概括

本研究介绍了模拟的3D结构光扫描仪数据集. 这些数据集能够对点云处理和表面重建算法进行受控评估,克服现实世界的数据采集挑战.

科学领域:

  • 计算机视觉 计算机视觉
  • 光学计量学 在光学计量学
  • 计算成像技术的成像

背景情况:

  • 由于复杂的设置,环境敏感性,噪音和校准错误,获取现实世界的光学测量数据具有挑战性.
  • 这些挑战阻碍了对3D数据处理算法的受控评估和开发.
  • 计算机模拟对于设计和优化光学测量系统至关重要.

研究的目的:

  • 通过模拟的3D结构光扫描仪生成的新型数据集.
  • 为3D表面重建和点云处理提供算法开发和评估的受控环境.
  • 减轻现实世界数据采集中固有的不确定性和错误.

主要方法:

  • 利用模拟的3D结构光扫描仪,在3D对象上投射正弦形和灰色代码图案.
  • 在虚拟环境中模拟各种表面材料和受控的照明条件.
  • 生成的数据集不受现实世界的实验不确定性和环境因素的影响.

主要成果:

  • 成功生成了各种3D对象的数据集,并控制了表面特性和照明.
  • 模拟数据允许对点云处理算法的系统测试和验证.
  • 这些数据集有助于开发强大的表面重建技术.
关键词:
在3D分析中,我们使用3D分析.算法算法是一种算法.摄像机 摄像机 摄像机 摄像机一个点云点云.投影机 投影机是一个投影机.重建重建的重建工作染是一种染.

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结论:

  • 模拟数据集为3D光学计量算法开发提供了对现实数据的可靠替代方案.
  • 这种方法支持在精确定义的条件下推进点云处理和表面重建算法.
  • 生成的数据对计算机视觉和计算成像领域的研究人员和开发人员来说非常有价值.