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Accurate Depth Extraction Method for Multiple Light-Coding-Based Depth Cameras

机译：多个基于光编码的深度相机的精确深度提取方法

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摘要

Using multiple depth cameras can extend the field of view, which is beneficial to three-dimensional (3D) reconstruction. However, multiple active depth cameras would interfere with each other, which degrades the quality of depth images significantly. In this paper, we first present a depth extraction method based on sampling of the space at camera viewpoints to address the interference problem. Compared with the previous plane-sweeping method based on structured-light stereo and multiview stereo, depth images with less depth errors and better shape of objects are generated. Then, we analyze factors affecting depth accuracy for light-coding-based depth cameras and demonstrate the proposed depth extraction method also improves the accuracy of depth images by utilizing multiple projected patterns. Based on the analysis, subpixel-based matching (SPM) is finally applied to further improve the depth accuracy obtained by the depth extraction method. In the image matching process of our method, nearest neighbor interpolation is utilized to each projector's image plane to increase their resolution, which leads to the improved depth accuracy at subpixel level and avoids the drawbacks of changing parameters of light-coding-based depth cameras. Experimental results under simulated and real-world examples validate our analysis and show that the proposed method not only mitigates the impacts of interference effectively but also further improves the accuracy of depth images by using SPM.
机译：使用多个深度相机可以扩展视野，这对三维（3D）重建非常有帮助。但是，多个活动深度相机会相互干扰，这会严重降低深度图像的质量。在本文中，我们首先提出一种基于相机视点空间采样的深度提取方法，以解决干扰问题。与以前的基于结构光立体和多视图立体的平面扫描方法相比，生成的深度图像具有更少的深度误差和更好的物体形状。然后，我们分析了影响基于光编码的深度相机的深度精度的因素，并证明了所提出的深度提取方法还利用多个投影图案提高了深度图像的精度。基于分析，最终应用了基于子像素的匹配（SPM），以进一步提高通过深度提取方法获得的深度精度。在我们方法的图像匹配过程中，最近邻插值被用于每个投影机的图像平面以提高其分辨率，从而提高了子像素级的深度精度，并避免了更改基于光编码的深度相机的参数的缺点。在仿真和真实示例下的实验结果验证了我们的分析结果，表明所提出的方法不仅可以有效地减轻干扰的影响，而且可以通过使用SPM进一步提高深度图像的精度。

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