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Robust structured-light depth mapping via recursive decomposition of binary codes

机译:通过二进制代码的递归分解鲁棒结构光深度映射

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摘要

Structured-light depth cameras rely on projecting and resolving coded patterns on a three-dimensional scene with high contrast. The front-end optics of such depth cameras impose a fundamental restriction on the depth-sensing range and accuracy: the patterns only remain sharp within the depth of field jointly determined by the camera and projector. We present here a robust method to improve the depth-sensing range and accuracy for a structured-light depth camera without changing the underlying optical design. Moreover, it shows the unique advantage in macrophotography of highly light-scattering objects. We analyze the proposed method theoretically and validate it in experiments.
机译:结构化光深度摄像机依赖于具有高对比度的三维场景上的投影和解析编码模式。这种深度摄像机的前端光学器件对深度感测范围和精度强制施加了根本的限制:图案仅在摄像机和投影仪共同确定的字段中保持锐利。我们在此提供了一种强大的方法,可以提高结构光深度摄像机的深度感测范围和精度,而无需改变底层光学设计。此外,它显示了高度光散射物体的宏观摄影中的独特优势。我们理论上分析了所提出的方法并在实验中验证。

著录项

  • 来源
    《Optical engineering》 |2019年第6期|060501.1-060501.4|共4页
  • 作者

    Xiaohua Feng; Liang Gao;

  • 作者单位

    University of Illinois at Urbana-Champaign Department of Electrical and Computer Engineering Urbana Illinois United States;

    University of Illinois at Urbana-Champaign Department of Electrical and Computer Engineering Urbana Illinois United States University of Illinois at Urbana-Champaign Beckman Institute for Advanced Science and Technology Urbana Illinois United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    optical metrology; three-dimensional modeling; camera; depth camera; structured light; range finding;

    机译:光学计量;三维建模;相机;深度相机;结构光;范围发现;

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