Tracking objects outside the line of sight using 2D intensity images.

Tracking objects outside the line of sight using 2D intensity images.
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使用 2D 强度图像跟踪视线外的物体。

DOI:
10.1038/srep32491
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发表时间:
2016-08-31
期刊:
影响因子:
4.6
通讯作者:
Hullin MB
Hullin MB
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Klein J;Peters C;Martín J;Laurenzis M;Hullin MB

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在各种重要应用中,对位于不可接近区域中的物体的观察是一个反复出现的挑战。最近的工作表明,使用罕见而昂贵的光学设置,间接漫反射光可以用来重建物体和二维(2D)图案周围的角落。在这里,我们表明,闭塞的对象可以使用更简单的手段,即一个标准的2D相机和激光笔在真实的时间跟踪。我们的方法从根本上不同于以前的解决方案,通过综合分析的意义上接近的问题。通过反复模拟光在场景中的传输,我们确定了一组最适合测量强度分布的对象参数。我们的实验表明,这种方法是能够以下的未知对象的翻译,翻译和方向的一个已知的对象,在真实的时间。
The observation of objects located in inaccessible regions is a recurring challenge in a wide variety of important applications. Recent work has shown that using rare and expensive optical setups, indirect diffuse light reflections can be used to reconstruct objects and two-dimensional (2D) patterns around a corner. Here we show that occluded objects can be tracked in real time using much simpler means, namely a standard 2D camera and a laser pointer. Our method fundamentally differs from previous solutions by approaching the problem in an analysis-by-synthesis sense. By repeatedly simulating light transport through the scene, we determine the set of object parameters that most closely fits the measured intensity distribution. We experimentally demonstrate that this approach is capable of following the translation of unknown objects, and translation and orientation of a known object, in real time.
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