Dual Structured Light 3D Using a 1D Sensor
Dual Structured Light 3D Using a 1D Sensor
复制标题
使用 1D 传感器的双结构光 3D
DOI：
10.1007/978-3-319-46466-4_23
复制
发表时间：
2016
影响因子：
6.8
通讯作者：
S. Narasimhan
中科院分区：
文献类型：
--
作者：
Jian Wang;Aswin C. Sankaranarayanan;Mohit Gupta;S. Narasimhan
基于结构光的3D重建方法通常使用具有1D平移对称的图案（诸如条纹、格雷码或正弦相移图案）来照亮场景。这些图案使用传统2D传感器捕获的图像进行解码。在这项工作中，我们提出了一种新的结构光方法，它使用具有简单光学器件的1D传感器，没有移动部件，以与传统2D传感器相同的采集速度重建场景。虽然传统方法计算投影仪的列和2D相机像素之间的对应关系，但我们的“双重”方法计算1D相机的列和2D投影仪像素之间的对应关系。1D传感器的使用在短波红外范围（0.9-2.5微米）内操作或需要动态视觉传感器（DVS）的许多应用中提供了显著的优点，其中2D传感器非常昂贵且难以制造。我们分析了所提出的设计，探索硬件替代方案，并讨论了在环境光和全局照明的存在下的性能。
Structured light-based 3D reconstruction methods often illuminate a scene using patterns with 1D translational symmetry such as stripes, Gray codes or sinusoidal phase shifting patterns. These patterns are decoded using images captured by a traditional 2D sensor. In this work, we present a novel structured light approach that uses a 1D sensor with simple optics and no moving parts to reconstruct scenes with the same acquisition speed as a traditional 2D sensor. While traditional methods compute correspondences between columns of the projector and 2D camera pixels, our ‘dual’ approach computes correspondences between columns of the 1D camera and 2D projector pixels. The use of a 1D sensor provides significant advantages in many applications that operate in short-wave infrared range (0.9–2.5 microns) or require dynamic vision sensors (DVS), where a 2D sensor is prohibitively expensive and difficult to manufacture. We analyze the proposed design, explore hardware alternatives and discuss the performance in the presence of ambient light and global illumination.