Robust structured-light depth mapping via recursive decomposition of binary codes.
Robust structured-light depth mapping via recursive decomposition of binary codes.
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DOI：
10.1117/1.oe.58.6.060501
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发表时间：
2019-06
影响因子：
1.3
通讯作者：
Xiaohua Feng;Liang Gao
中科院分区：
文献类型：
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作者：
Xiaohua Feng;Liang Gao
结构光深度相机依赖于在具有高对比度的三维场景上投影和解析编码图案。这种深度相机的前端光学器件对深度感测范围和精度施加了基本限制：图案仅在由相机和投影仪共同确定的景深内保持清晰。我们在这里提出了一种鲁棒的方法来提高结构光深度相机的深度感测范围和精度，而不改变底层的光学设计。此外，它在高散射物体的微距摄影中显示出独特的优势。我们对所提出的方法进行了理论分析和实验验证。
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.