Harvesting Dynamic 3DWorlds from Commodity Sensor Clouds

Tamy Boubekeur, Paolo Cignoni, Elmar Eisemann, Michael Goesele, Reinhard Klein, Stefan Roth, Michael Weinmann, Michael Wimmer
Harvesting Dynamic 3DWorlds from Commodity Sensor Clouds
In Proceedings of the 14th Eurographics Workshop on Graphics and Cultural Heritage, pages 19-22. October 2016.

Information

Abstract

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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BibTeX

@inproceedings{WIMMER-2016-HARVEST4D,
  title =      "Harvesting Dynamic 3DWorlds from Commodity Sensor Clouds",
  author =     "Tamy Boubekeur and Paolo Cignoni and Elmar Eisemann and
               Michael Goesele and Reinhard Klein and Stefan Roth and
               Michael Weinmann and Michael Wimmer",
  year =       "2016",
  abstract =   "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.",
  month =      oct,
  booktitle =  "Proceedings of the 14th Eurographics Workshop on Graphics
               and Cultural Heritage",
  doi =        "10.2312/gch.20161378",
  editor =     "Chiara Eva Catalano and Livio De Luca",
  event =      "GCH 2016",
  isbn =       "978-3-03868-011-6",
  location =   "Genova, Italy",
  publisher =  "Eurographics Association",
  pages =      "19--22",
  keywords =   "acquisition, 3d scanning, reconstruction",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/",
}