Depth Estimation Using Structured Light Flow — Analysis of Projected Pattern Flow on an Object’s Surface
Depth Estimation Using Structured Light Flow — Analysis of Projected Pattern Flow on an Object’s Surface
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使用结构光流进行深度估计 - 分析物体表面的投影图案流
DOI：
10.1109/iccv.2017.497
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Hiroshi Kawasaki
中科院分区：
文献类型：
--
作者：
Furukawa Ryo;R. Sagawa;Hiroshi Kawasaki
使用结构光的形状重建技术由于其鲁棒性、高精度和密度而得到了广泛的研究和开发。由于这些技术基于对图案进行解码以找到对应关系，因此它隐含地要求图像传感器清晰地捕获投影图案，即，避免投影图案的散焦和运动模糊。尽管人们对解决散焦模糊问题进行了大量研究，但针对运动模糊的研究却很少，唯一的解决方案就是以极快的快门速度进行捕捉。在本文中，与之前的方法不同，我们积极利用运动模糊（我们称之为光流）来估计深度。分析表明，深度估计需要至少两个光流（从物体上的两个投影图案检索）。为了同时检索两个光流，从两个视频投影仪照射两组平行线图案，并精确测量每条线的运动模糊的大小。通过分析光流，即模糊的长度，可以估计场景深度信息。在实验中，我们的技术成功地重建了快速移动物体的 3D 形状，这些形状不可避免地会产生运动模糊。
Shape reconstruction techniques using structured light have been widely researched and developed due to their robustness, high precision, and density. Because the techniques are based on decoding a pattern to find correspondences, it implicitly requires that the projected patterns be clearly captured by an image sensor, i.e., to avoid defocus and motion blur of the projected pattern. Although intensive researches have been conducted for solving defocus blur, few researches for motion blur and only solution is to capture with extremely fast shutter speed. In this paper, unlike the previous approaches, we actively utilize motion blur, which we refer to as a light flow, to estimate depth. Analysis reveals that minimum two light flows, which are retrieved from two projected patterns on the object, are required for depth estimation. To retrieve two light flows at the same time, two sets of parallel line patterns are illuminated from two video projectors and the size of motion blur of each line is precisely measured. By analyzing the light flows, i.e. lengths of the blurs, scene depth information is estimated. In the experiments, 3D shapes of fast moving objects, which are inevitably captured with motion blur, are successfully reconstructed by our technique.
影响因子：
10.6
作者：
Maier-Hein, L.;Groch, A.;Stoyanov, D.
通讯作者：
Stoyanov, D.