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Depth and all-in-focus imaging by a multi-line-scan light-field camera

机译:多线扫描光场相机的深度和全焦点成像

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摘要

We present a multi-line-scan light-field image acquisition and processing system designed for 2.5/3-D inspection of fine surface structures in industrial environments. The acquired three-dimensional light field is composed of multiple observations of an object viewed from different angles. The acquisition system consists of an area-scan camera that allows for a small number of sensor lines to be extracted at high frame rates, and a mechanism for transporting an inspected object at a constant speed and direction. During acquisition, an object is moved orthogonally to the camera's optical axis as well as the orientation of the sensor lines and a predefined subset of lines is read out from the sensor at each time step. This allows for the construction of so-called epipolar plane images (EPIs) and subsequent EPI-based depth estimation. We compare several approaches based on testing a set of slope hypotheses in the EPI domain. Hypotheses are derived from block matching, namely the sum of absolute differences, modified sum of absolute differences, normalized cross correlation, census transform, and modified census transform. Results for depth estimation and all-in-focus image generation are presented for synthetic and real data. (C) 2014 SPIE and IS&T
机译:我们提出了一种多行扫描光场图像采集和处理系统,旨在用于工业环境中精细表面结构的2.5 / 3-D检查。所获取的三维光场由从不同角度观看的物体的多次观察组成。采集系统由允许以高帧频提取少量传感器线的面扫描相机和用于以恒定的速度和方向运输被检物体的机构组成。在采集过程中,将在与相机光轴以及传感器线的方向正交的方向上移动对象,并在每个时间步长从传感器读取预定义的线子集。这允许构造所谓的对极平面图像(EPI)和随后的基于EPI的深度估计。我们在测试EPI域中的一组斜率假设的基础上比较了几种方法。假设是从块匹配中得出的,即绝对差之和,绝对差的修正总和,归一化互相关,普查变换和修正的普查变换。给出了用于合成和真实数据的深度估计和全焦点图像生成的结果。 (C)2014 SPIE和IS&T

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