Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds

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 goaldriven 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.
Description

        
@inproceedings{
10.2312:gch.20161378
, booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage
}, editor = {
Chiara Eva Catalano and Livio De Luca
}, title = {{
Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds
}}, author = {
Boubekeur, Tamy
and
Cignoni, Paolo
and
Eisemann, Elmar
and
Goesele, Michael
and
Klein, Reinhard
and
Roth, Stefan
and
Weinmann, Michael
and
Wimmer, Michael
}, year = {
2016
}, publisher = {
The Eurographics Association
}, ISSN = {
2312-6124
}, ISBN = {
978-3-03868-011-6
}, DOI = {
10.2312/gch.20161378
} }
Citation