基于遥测技术的虚拟工厂深度恢复及其向远程设施管理的扩展

D. Zetu, P. Banerjee, A. Akgunduz
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引用次数: 0

摘要

利用计算机视觉技术,可以在不使用CAD软件包的情况下快速构建虚拟工厂模型。为了创建一个逼真的虚拟制造环境,特别是当这样的模型必须与现有设施相关联时,需要一个可靠的算法从相机图像中提取3D模型,这需要在捕获图像时准确了解相机位置。在本文中,我们描述了一种基于在环境中跟踪相机的2D图像深度恢复方法。我们还通过跟踪和同步车间中的人类运动与代表同一车间的虚拟环境中的虚拟化身的运动,探索将基于遥测的算法扩展到远程设施管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Telemetry-Based Depth Recovery for Virtual Factory Construction and Extension to Remote Facility Management
The fast construction of a Virtual Factory model without using a CAD package can be made possible by using computer vision techniques. In order to create a realistic Virtual Manufacturing environment, especially when such a model has to be created in correlation to an existing facility, a reliable algorithm that extracts 3D models from camera images is needed, and this requires exact knowledge of the camera location when capturing images. In this paper, we describe an approach for depth recovery from 2D images based on tracking a camera within the environment. We also explore the extension of our telemetry-based algorithm to remote facility management, by tracking and synchronizing human motion on the shop floor with motion of an avatar in a Virtual Environment representing the same shop floor.
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