A 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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Disclaimer: Every effort has been made to ensure the above information is current and correct. However, applicants should contact the appropriate administering body before making an application, as details do change frequently.