计算机视觉
人工智能
计算机科学
对象(语法)
代表(政治)
直线(几何图形)
扫描仪
容器(类型理论)
曲面(拓扑)
影子(心理学)
计算机图形学(图像)
工程类
数学
几何学
法学
心理治疗师
政治
机械工程
政治学
心理学
作者
Juan‐Carlos Perez‐Cortes,Alberto Pérez,Sergio Sáez,Jose-Luis Guardiola,Ismael Salvador
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2018-09-07
卷期号:18 (9): 2993-2993
被引量:20
摘要
This work presents a 3D scanner able to reconstruct a complete object without occlusions, including its surface appearance. The technique presents a number of differences in relation to current scanners: it does not require mechanical handling like robot arms or spinning plates, it is free of occlusions since the scanned part is not resting on any surface and, unlike stereo-based methods, the object does not need to have visual singularities on its surface. This system, among other applications, allows its integration in production lines that require the inspection of a large volume of parts or products, especially if there is an important variability of the objects to be inspected, since there is no mechanical manipulation. The scanner consists of a variable number of industrial quality cameras conveniently distributed so that they can capture all the surfaces of the object without any blind spot. The object is dropped through the common visual field of all the cameras, so no surface or tool occludes the views that are captured simultaneously when the part is in the center of the visible volume. A carving procedure that uses the silhouettes segmented from each image gives rise to a volumetric representation and, by means of isosurface generation techniques, to a 3D model. These techniques have certain limitations on the reconstruction of object regions with particular geometric configurations. Estimating the inherent maximum error in each area is important to bound the precision of the reconstruction. A number of experiments are presented reporting the differences between ideal and reconstructed objects in the system.
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