You are here

  1. Home
  2. » Opportunities
  3. » Mobility
  4. » Computer Vision in Virtual Archaeology

Opportunities

Computer Vision in Virtual Archaeology

Computer Vision in Virtual Archaeology

Within the V-MOVE program, the Lund University in Sweden is offering a position for an intern in the field of computer vision in Virtual Archaeology. Interested researchers and professionals may apply through the Call4Mobility.

Name of the hosting institution:

Lund University

Brief description of the unit hosting the internship:

The VRLab, located at the Ingvar Kamprad Design Center, and the HumLab, located at the linguistic department. These two Labs are connected by several research projects and together provide instruments and technologies to acquire and visualize any archaeological or historical context.

Areas of host institution’s expertise for internship proposals:

  • 3D modelling
  • Laser scanner data post processing
  • Computer vision
  • Motion capture

Project description:

Post processing data coming from Laser scanner and computer vision in order to build VR systems for the communication and analysis of archaeological sites.

Internship profile:

Essential

Basic knowledge MeshLab

Preferred

Basic knowledge of one or more of the following:

  • MeshLab
  • Blender
  • 3DStudioMax
  • Unity 3D

Preferred period:

August 2012 - July 2013

Min/max duration:

6-12 weeks

Facilities and Supervision:

Workspace: VRLab-HumLab (open-plan office)

Hardware: 1 Terrestrial Laser Scanner, 3 Triangulation Laser scanner, 2 CAVE Systems, 1 Motion Capture system, cameras and lens (computer vision), 1 RTK GPS

Software: we have all the software necessary to develop the projects:

Supervision: 2 to 4 hours per week, depending on the requirements of the agreed project

Contact Details of Supervisor:

a. Name: Nicolò Dell’Unto .
b. Address: Sandgatan1, Box 117, 22100 Lund, Sweden
d. Telephone: +46 (0)46-222 31 86
Wednesday, August 1, 2012 to Friday, November 8, 2013

Institution: 

Domain: 

Country: 

European Union Seventh Framework

V-MusT.net is a Network of Excellence. The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7 2007/2013) under the Grant Agreement 270404.