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3D Imaging System for Biometric Applications

机译：生物识别应用的3D成像系统

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摘要

There is a growing interest in the use of 3D data for many new applications beyond traditional metrology areas. In particular, using 3D data to obtain shape information of both people and objects for applications ranging from identification to game inputs does not require high degrees of calibration or resolutions in the tens of micron range, but does require a means to quickly and robustly collect data in the millimeter range. Systems using methods such as structured light or stereo have seen wide use in measurements, but due to the use of a triangulation angle, and thus the need for a separated second viewpoint, may not be practical for looking at a subject 10 meters away. Even when working close to a subject, such as capturing hands or fingers, the triangulation angle causes occlusions, shadows, and a physically large system that may get in the way. This paper will describe methods to collect medium resolution 3D data, plus high-resolution 2D images, using a line of sight approach. The methods use no moving parts and as such are robust to movement (for portability), reliable, and potentially very fast at capturing 3D data. This paper will describe the optical methods considered, variations on these methods, and present experimental data obtained with the approach.
机译：人们对3D数据在传统计量领域以外的许多新应用中的使用越来越感兴趣。特别是，使用3D数据获取人和物体的形状信息以用于从标识到游戏输入的各种应用，并不需要高度的校准或数十微米范围内的分辨率，而是需要一种快速而可靠地收集数据的方法在毫米范围内。使用诸如结构化光或立体声的方法的系统已经在测量中得到广泛使用，但是由于使用三角测量角度，因此需要分离的第二视点，对于在10米外的对象进行观察可能不切实际。即使在靠近对象的地方工作（例如捕获手或手指），三角剖分角度也会导致遮挡，阴影和可能妨碍操作的大型系统。本文将介绍使用视线方法收集中等分辨率3D数据以及高分辨率2D图像的方法。该方法不使用移动部件，因此对移动具有鲁棒性（用于便携性），可靠性高，并且在捕获3D数据方面可能非常快。本文将介绍所考虑的光学方法，这些方法的变体，并介绍使用该方法获得的实验数据。

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