Huang Xiao, Luo Yujie, Bai Jian, Cheng Ruiqi, He Kejing, Wang Kaiwei, Liu Qun, Luo Yupeng, Du Juan
Appl Opt. 2017 Sep 20;56(27):7741-7748. doi: 10.1364/AO.56.007741.
Depth sensing is a basic issue in three-dimensional computer vision, and structured light is one of the most prevailing methods for it. However, complex surroundings and strong ambient illumination are fairly unfavorable to depth sensing based on structured light. Complex surroundings increase computation overhead and require extra effort to be separated from the target object. Strong ambient illumination is unfavorable to the signal-noise ratio of structured light and, thus, increases the difficulty of decoding. In this paper, we propose that the polarization-coded structured light is capable of target enhanced depth sensing in ambient illumination. We present the polarimetric principle, an improved algorithm of polarization-coded structured light, and signal-noise-ratio analysis in ambient illumination. Experimental results show that polarization-coded structured light is efficient and robust for target depth sensing of a complicated environment. The polarization-coded structured light is promising to the target depth sensing in an outdoor scenario and industrial inspection.
深度感知是三维计算机视觉中的一个基本问题，而结构光则是实现深度感知最常用的方法之一。然而，复杂的环境和强烈的环境光照对基于结构光的深度感知相当不利。复杂的环境会增加计算开销，并且需要额外的努力将其与目标物体分离。强烈的环境光照不利于结构光的信噪比，从而增加了解码难度。在本文中，我们提出偏振编码结构光能够在环境光照下增强目标深度感知。我们阐述了偏振原理、偏振编码结构光的改进算法以及环境光照下的信噪比分析。实验结果表明，偏振编码结构光对于复杂环境下的目标深度感知是高效且稳健的。偏振编码结构光在户外场景和工业检测中的目标深度感知方面具有广阔前景。
