CS-ToF: High-resolution compressive time-of-flight imaging
CS-ToF: High-resolution compressive time-of-flight imaging
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DOI：
10.1364/oe.25.031096
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发表时间：
2017-12-11
期刊：
影响因子：
3.8
通讯作者：
Cossairt, Oliver
中科院分区：
文献类型：
--
作者：
Li, Fengqiang;Chen, Huaijin;Cossairt, Oliver
使用飞行时间（ToF）传感器的三维成像由于其成本效益、简单性和紧凑尺寸而在许多应用中迅速获得广泛采用。然而，由于物理制造限制，当前一代的ToF相机存在空间分辨率低的问题。在本文中，我们提出了CS-ToF，成像架构，以实现高空间分辨率ToF成像，通过光学复用和压缩传感。我们的方法是基于观察，而深度是非线性相关的ToF像素测量，一个相量表示的捕获图像的结果在一个线性的图像形成模型。我们利用这个属性来开发一个基于CS的技术，用于恢复高分辨率的3D图像。基于所提出的架构，我们开发了一个原型100万像素的压缩ToF相机，实现了高达4倍的空间分辨率和3倍的自然场景的改善。我们相信，我们提出的CS-ToF架构提供了一种简单且低成本的解决方案，可以提高ToF和相关传感器的空间分辨率。(C)2017美国光学学会
Three-dimensional imaging using Time-of-flight (ToF) sensors is rapidly gaining widespread adoption in many applications due to their cost effectiveness, simplicity, and compact size. However, the current generation of ToF cameras suffers from low spatial resolution due to physical fabrication limitations. In this paper, we propose CS-ToF, an imaging architecture to achieve high spatial resolution ToF imaging via optical multiplexing and compressive sensing. Our approach is based on the observation that, while depth is non-linearly related to ToF pixel measurements, a phasor representation of captured images results in a linear image formation model. We utilize this property to develop a CS-based technique that is used to recover high resolution 3D images. Based on the proposed architecture, we developed a prototype 1-megapixel compressive ToF camera that achieves as much as 4 x improvement in spatial resolution and 3 improvement for natural scenes. We believe that our proposed CS-ToF architecture provides x a simple and low-cost solution to improve the spatial resolution of ToF and related sensors. (C) 2017 Optical Society of America