Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation

Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation
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空间调制 ToF 和结构光的组合用于无 MPI 深度估计

DOI:
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发表时间:
2018
期刊:
ECCV Workshops
影响因子:
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通讯作者:
P. Zanuttigh
P. Zanuttigh
中科院分区:
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文献类型:
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作者:
Gianluca Agresti;P. Zanuttigh

文献摘要

被引文献

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多径干扰(MPI)是飞行时间(ToF)相机深度测量中的主要误差来源之一。一个可能的解决方案,其去除是基于通过多个正弦图案的投影直接和全局光的分离。在这项工作中,我们扩展了这种方法,通过应用结构光(SL)技术在相同的投影图案。这允许使用单个ToF采集来计算两个深度图,一个使用飞行时间原理,另一个使用结构光原理。最后使用最大似然法组合两个深度场,以获得不含MPI误差伪影的准确深度估计。实验结果表明,该方法具有很好的MPI校正性能与国家的最先进的性能。
Multi-path Interference (MPI) is one of the major sources of error in Time-of-Flight (ToF) camera depth measurements. A possible solution for its removal is based on the separation of direct and global light through the projection of multiple sinusoidal patterns. In this work we extend this approach by applying a Structured Light (SL) technique on the same projected patterns. This allows to compute two depth maps with a single ToF acquisition, one with the Time-of-Flight principle and the other with the Structured Light principle. The two depth fields are finally combined using a Maximum-Likelihood approach in order to obtain an accurate depth estimation free from MPI error artifacts. Experimental results demonstrate that the proposed method has very good MPI correction properties with state-of-the-art performances.