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CALL. 29.10.2017: Close range 3D data acquisition, processing and querying in Cultural Heritage (CAA 2018) - Tübingen (Germany)

05.10.2017

 


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This session collects contributions concerned with 3D data in cultural heritage and how they are employed to tackle research questions or for proficient presentation to stakeholders. While much attention has been paid in recent years to evaluate different methodologies of data acquisition, compare algorithm for data processing or querying of 3D data, much less attention was given to provide information on metric data quality required to solve specific questions like: What resolution is required or useful to display data in a 3D viewer? What precision is needed for comparative study of gypsum casts? What do we learn from comparative studies with regards to required data quality?

 

FECHA LÍMITE/DEADLINE/SCADENZA: 29/10/2017

 

FECHA CONGRESO/CONGRESS DATE/DATA CONGRESSO: 19-20-21-22-23/03/2018

 

LUGAR/LOCATION/LUOGO: University of Tübingen (Tübingen, Germany)

 

ORGANIZADOR/ORGANIZER/ORGANIZZATORE: Diego Jiménez-Badillo ; Vera Moitinho de Almeida ; Mona Hess ; Dirk Rieke-Zapp

 

INFO: web

 

CALL:

This session collects contributions concerned with 3D data in cultural heritage and how they are employed to tackle research questions or for proficient presentation to stakeholders.
While much attention has been paid in recent years to evaluate different methodologies of data acquisition, compare algorithm for data processing or querying of 3D data, much less attention was given to provide information on metric data quality required to solve specific questions like:

  • What resolution is required or useful to display data in a 3D viewer?

  • What precision is needed for comparative study of, e.g., gypsum casts?

  • What do we learn from comparative studies with regards to required data quality?

This session particularly invites presenters working with 3D data that can provide feedback towards the process of acquisition to optimize data collection and to identify best data collection procedure for a given project.
At the same time we welcome contributions that are predominantly application based or based on acquisition methodology.
Close range 3D data includes mostly, but not exclusively triangulation based acquisition techniques, i.e. structured light scanning, close range photogrammetry, triangulation laser scanning.
Works based on 3D data from CT-scan, digital microscopy, and the like, are also welcome.

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