PhD Position in Computer Graphics and Geometric Modeling, University of Strasbourg, France

University of Strasbourg FranceA 3-year funded PhD position for an excellent student is available in the field of Computer Graphics and Geometric Modeling at the University of Strasbourg (France), ICube Lab.

Title: Reconstruction and visualization of digitized 3D objects from scans and photographs

Host research team: Computer Graphics and Geometry group (IGG)

Advisors:

  • Jean-Michel Dischler, Professor in Computer Science at the University of Strasbourg (dischler AT unistra DOT fr)
  • Remi Allegre, Associate Professor in Computer Science at the University of Strasbourg (allegre AT unistra DOT fr)

Starting date: September 2013
Ending date: 3 years from the starting date
Funding: The net salary will be about 1500 euros per month
Location: Strasbourg area, France

Description:
Current 3D acquisition technologies can deliver highly accurate data on the shape of real-world objects. Despite the recent advances in the field of geometry processing and 3D reconstruction, producing complete and defect-free multi-scale geometric models of objects that are as complex as pieces of artwork or buildings still cannot be achieved in a full automatic way, which hampers massive scanning campaigns. Standard 3d reconstruction techniques often require a large amount of user interaction to adjust parameters or to perform corrections, which essentially rely on some visual criteria. The recent advances of 2D/3D registration techniques open up new lines of research to bring solutions to the problem of automatically reconstructing complete and multi-scale accurate 3D models with few constraints on the acquisition process. The goal of this thesis is to develop a technique that takes benefit from the information obtained from a set of photographs to evaluate and improve the reconstruction of 3D models from 3D scans. This technique will be based on a novel metric that allows to compare a calibrated set of photographs to a set of 3D scans. This technique will be studied in conjunction with a representation making it possible to visualize complex reconstructed models in real-time. The implementation will be achieved in C++ and it will be incorporated into the digitization software of the IGG group.

A more detailed description is available following this link.

References:

  • [BWS07] A. Brunton, S. Wuhrer, C. Shu. Image-based Model Completion. In Proc. 3-D Digital Imaging and Modeling (3DIM), pages 305-311, 2007.
  • [CDG+12] M. Corsini, M. Dellepiane, F. Ganovelli, R. Gherardi, A. Fusiello, R. Scopigno. Fully Automatic Registration of Image Sets on Approximate Geometry. International Journal of Computer Vision, pages 1-21, August 10, 2012.
  • [DVS11] M. Dellepiane, A. Venturi, R. Scopigno. Image guided reconstruction of un-sampled data: A filling technique for cultural heritage models. International Journal of Computer Vision, 94(1):2-11, 2011.
  • [FP07] Y. Furukawa and J. Ponce. Accurate, Dense, and Robust Multi-View Stereopsis. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, July 2007.
  • [PGC11] R. Pintus, E. Gobbetti, R. Combet. Fast and robust semi-automatic registration of photographs to 3D geometry. In Proc. International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST), 2011.
  • [SSS06] N. Snavely, S. M. Seitz, R. Szeliski. Photo Tourism: Exploring Image Collections in 3D. ACM Transactions on Graphics (Proc. SIGGRAPH 2006), 2006.
  • [SY09] N. Salman and M. Yvinec. Surface Reconstruction from Multi-View Stereo. In Proc. Asian Conference on Computer Vision, Lecture Notes in Computer Science, 2009.
  • [VLP+12] H.-H. Vu, P. Labatut, J.-P. Pons, R. Keriven. High Accuracy and Visibility-Consistent Dense Multiview Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(5):889-901, 2012.

Qualification:

  • Master degree in Computer Science
  • Basic skills in Computer Graphics and Geometric Modeling
  • Good programming and communication skills
  • Good level of English is mandatory

Application process:
Candidates are invited to contact us as soon as possible via the two following email addresses: allegre AT unistra DOT fr and dischler AT unistra DOT fr. Please send us the following elements:

  • a detailed CV
  • marks obtained during Licence and Master degree, or Engineering School degree
  • a one-page motivation letter
  • a recommendation letter from teachers

Application deadline: June 15, 2013

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