The 3 years research project "GYROVIZ" addresses the challenge of automatic modeling of 3D physical scenes from located frames. The central motivation of our proposal stems from the observation of the current limitations of image-based modeling systems, which require a substantial amount of user interaction for matching the images. This limitation becomes even more critical when dealing with massive datasets to match.

While a considerable amount of efforts has previously been done to solve this issue purely from the algorithmic point of view, we propose to address it primarily from the technological side. Our solution hinges on a set of new accurate inertial sensors (specific fiber optic gyroscopes and accelerometers) which once coupled with an image acquisition device, provide a very precise measure of its physical location and pose.

Both robustness and efficiency of the image matching problem are this way substantially improved, as the solution space of the matching problem is drastically reduced, and the matching is always provided with good initial guesses

The algorithmic aspect of our proposal relies on state-of-the-art computer vision and geometric computing techniques for extracting and matching characteristic points and features from images, and for reconstructing 3D models with color attributes. Real-time reconstruction as well as feature and symmetry-preserving reconstruction are listed as topics for 2 Ph.D. theses (CEA/LIST and INRIA).

The complete system should be mobile and portable, and should allow a fully automatic 3D modeling of complex scenes. Two complementary laboratory models using the same localization unit will be developed in the framework of the project to make various sets of data acquisition for algorithm tests as well as to enable a practical evaluation of the potential of the technology with end-users:

  • A 3D real time video camera tracking system for virtual studio and postproduction purposes;
  • A 3D static scene and object modeling system for multimedia and engineering applications.

The project GYROVIZ is supported by the French Research Agency - ANR.

Key data

  • 3D scene reconstruction from pictures
  • Pictures and videos acquisitions
  • 3D tracking
  • 3D scene reconstruction in real time
  • Self-localization module able to provide 6 location information for each image
  • Geometric features reconstruction from point clouds

Applications are various. In the digital audiovisual production chain, the normal practices are to use automatic tracking camera for video post-processing plans, real-time composite scenes or building virtual sets preview.

In the industry sector, applications range are wide and go from reverse engineering to the maintenance, your only is to photograph an object or a building from different points of view to automatically generate the CAD model.



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