Departament d'Informàtica, Escola Tècnica Superior d'Enginyeria, Universitat de València, Avd. de la Universidad, s/n, Burjassot, València 46100, Spain.
Sensors (Basel). 2013 Sep 27;13(10):13143-62. doi: 10.3390/s131013143.
This article deals with the application of the principles of SCD (Selective Change Driven) vision to 3D laser scanning. Two experimental sets have been implemented: one with a classical CMOS (Complementary Metal-Oxide Semiconductor) sensor, and the other one with a recently developed CMOS SCD sensor for comparative purposes, both using the technique known as Active Triangulation. An SCD sensor only delivers the pixels that have changed most, ordered by the magnitude of their change since their last readout. The 3D scanning method is based on the systematic search through the entire image to detect pixels that exceed a certain threshold, showing the SCD approach to be ideal for this application. Several experiments for both capturing strategies have been performed to try to find the limitations in high speed acquisition/processing. The classical approach is limited by the sequential array acquisition, as predicted by the Nyquist-Shannon sampling theorem, and this has been experimentally demonstrated in the case of a rotating helix. These limitations are overcome by the SCD 3D scanning prototype achieving a significantly higher performance. The aim of this article is to compare both capturing strategies in terms of performance in the time and frequency domains, so they share all the static characteristics including resolution, 3D scanning method, etc., thus yielding the same 3D reconstruction in static scenes.
本文探讨了 SCD（选择性变化驱动）视觉原理在三维激光扫描中的应用。为此实现了两个实验设置：一个使用传统的 CMOS（互补金属氧化物半导体）传感器，另一个则使用最近开发的用于比较目的的 CMOS SCD 传感器，两者均采用称为主动三角测量的技术。SCD 传感器仅输出变化最大的像素，并按其自上次读取以来的变化幅度排序。3D 扫描方法基于通过整个图像进行系统搜索以检测超过某个阈值的像素，表明 SCD 方法非常适合此应用。已经针对两种捕获策略执行了多项实验，试图找到在高速采集/处理方面的限制。经典方法受到奈奎斯特-香农采样定理预测的顺序排列采集的限制，并且在旋转螺旋的情况下已经通过实验证明了这一点。通过 SCD 3D 扫描原型克服了这些限制，实现了显著更高的性能。本文的目的是比较两种捕获策略在时域和频域方面的性能，因此它们在包括分辨率、3D 扫描方法等静态特性方面共享所有内容，从而在静态场景中产生相同的 3D 重建。
