从商品传感器云中收获动态3D世界

T. Boubekeur, Paolo Cignoni, E. Eisemann, M. Goesele, R. Klein, S. Roth, Michael Weinmann, M. Wimmer
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引用次数: 0

摘要

欧盟FP7 fet开放项目“Harvest4D:从商品传感器云中收获动态3D世界”处理动态3D数据的采集、处理和显示。技术进步为我们提供了广泛可用的传感设备,这些设备可以提供不同的数据流,这些数据流可以很容易地部署在现实世界中,并产生密度更高、采样过程更容易迭代的采样数据流。这些数据需要以新的方式进行处理和显示。Harvest4D项目提出了采集和处理技术的根本变革:取代了由目标驱动的采集来决定设备和传感器,其方法是让传感器和由此产生的可用数据来决定采集过程。需要解决各种具有挑战性的问题:庞大的数据量、不同的模式、不同的尺度、动态、嘈杂和丰富多彩的数据。这篇简短的文章介绍了Harvest4D产生的许多科学成果的选择。我们会把重点放在那些可能对文化遗产领域产生重大影响的结果上,即促进采样数据的获取或提供先进的视觉分析能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds
The EU FP7 FET-Open project "Harvest4D: Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds" deals with the acquisition, processing, and display of dynamic 3D data. Technological progress is offering us a wide-spread availability of sensing devices that deliver different data streams, which can be easily deployed in the real world and produce streams of sampled data with increased density and easier iteration of the sampling process. These data need to be processed and displayed in a new way. The Harvest4D project proposes a radical change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, its methods let the sensors and resulting available data determine the acquisition process. A variety of challenging problems need to be solved: huge data amounts, different modalities, varying scales, dynamic, noisy and colorful data. This short contribution presents a selection of the many scientific results produced by Harvest4D. We will focus on those results that could bring a major impact to the Cultural Heritage domain, namely facilitating the acquisition of the sampled data or providing advanced visual analysis capabilities.
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