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3D User Interface Design

3D User Interface Design

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
  • 3D GIS
  • Motion capture
  • 3D User Interface Design

Project description:

  • Development of 3D User Interfaces for V-must testbeds and for the final exhibition “Keys to Rome”; evaluation activities on gestures.
  • Integration of Laser scanner data into GIS platform, in specific this work will be developed in the frame of the project: Pompeii- a3D revival.

Internship profile:

Essential

  • Basic knowledge of MeshLab, Blender or 3D Studio Max (or similar software) and GIS.

Preferred

  • Java programming skills.

Preferred period:

January - July 2014

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
 
Friday, November 8, 2013 to Tuesday, July 8, 2014

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.