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基于场景适应模式编码的边缘投影特征测量:在杂乱的场景中识别分散的表面和3D重建.

Yang Zhao, Haotian Yu, Yucheng Zheng

    Optics express
    |October 20, 2023
    PubMed
    概括

    这项研究引入了一种新的方法,用于准确的3D形状重建混乱的场景,使用边缘投影特征测量 (FPP). 该技术以适应性设计投影模式,以防止间接光干扰,提高3D感知精度.

    科学领域:

    • 光学计量学 在光学计量学
    • 3D 计算机视觉 3D 计算机视觉

    背景情况:

    • 边缘投影造型测量 (FPP) 是一种常见的3D形状采集技术.
    • 杂乱的场景与非扩散表面导致间接光干扰,阻碍了FPP的准确性.

    研究的目的:

    • 使用FPP开发一种适应场景的方法,用于在混乱的环境中准确地感知3D形状.
    • 通过控制表面照明来减轻FPP中间接光的影响.

    主要方法:

    • 在FPP中对间接光线影响的理论分析和建模.
    • 根据表面反射特性编码适应场景的模式.
    • 场景信心分析以识别分散的表面及其像素.
    • 摄像机投射坐标映射和空间图案编码用于目标照明.

    主要成果:

    • 在混乱的场景中精确的3D形状重建分散的表面.
    • 通过仅照亮分散的表面,防止源处的间接光线影响.
    • 与传统方法相比,证明了更高的准确性和稳定性.

    结论:

    • 拟议的场景适应模式编码方法有效地克服了FPP中的间接光挑战.

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  • 这种方法可以在混乱的场景中实现准确的3D感知,而无需额外的硬件或高计算成本.
  • 该方法为复杂环境中的3D形状采集提供了强大而高效的解决方案.