Positioning system for 3D scans inside objects

En este trabajo presentamos un sistema de posicionamiento de visión activa para el escaneo 3D del interior de piezas. El diseño del sistema propuesto consta de dos módulos: un sistema de dimensionamiento 2D de visión activa, y un sistema que posiciona el módulo de visión activa. El sistema de posicionamiento es capaz de determinar la profundidad del sistema de dimensionamiento 2D de visión activa en el interior del objeto a escanear usando varios sensores. Las principales contribuciones de este trabajo son la caracterización del sistema de dimensionamiento 2D, y el desarrollo de algoritmos de posicionamiento de la luz activa con énfasis en el modelado y fusión de sensores. El sistema puede utilizarse como un sistema de dimensionamiento en aplicaciones industriales como la industria metal mecánica, la aeronáutica, la medicina, en el control de calidad y en áreas de visión por computadora.In this work we present an active positioning system for 3D scan of interior parts. The design of the proposed system consists of two modules: an active 2D dimensional system and positional system based on active vision. The active 2D dimensional system is able to determine the depth of the 2D dimensional system inside the object to be scanned using several sensors. The main contributions of this work are the characterization of the 2D dimensional system and the development of active light positioning algorithms with emphasis on the modeling and fusion of the sensors. The system can be used as a dimensional system in industrial applications such as the metal mechanical industry, aeronautics industry, medicine, quality control and computer vision.Peer Reviewe

Performance evaluation of a portable 3D vision coordinate measuring system

In this work, we present a portable 3D vision coordinate measuring machine (PCMM) for short range-real time photogrammetry. The PCMM performs 3D measurements of points using a single camera in combination with a hand tool and a computer. The hand tool has infrared LEDs serving as photogrammetric targets. The positions of these targets were pre-calibrated with an optical coordinate-measuring machine defining a local coordinate system on the hand tool. The camera has an infrared filter to exclude all ambient light but infrared targets. Positions of the imaged infrared targets are converted to 3D coordinates using pixel positions and precalibrated positions of the targets. Also, we present a set of criteria for selecting the infrared LEDs and the camera filter, a camera calibration method, a tracking and POSE algorithms, and a 3D coordinate error correction for the PCMM. The correction is performed using the PCMM as a range meter, which implies comparing the 3D coordinate points of the PCMM with a coordinate measuring machine, and then generating a look up table (LUT) for correction. The global error of the PCMM was evaluated under ASME B89.4.22-2004. Sphere and single point errors were around 1 mm, volumetric error were under 3 mm