Atelier3D

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Visualization with Atelier3D

During the development of the numerous components for the BigBrain 3D reconstruction, the project collaborators located on different continents had to be able to frequently visualize different intermediate versions of the full size 3D brain model.

Atelier3D, a software suite developed at the National Research Council of Canada (NRC), has been used for visualization of this large dataset. This software developed by the Visualization Information Technology group at NRC has been used for visualization and analysis of large-scale 3D data in a wide variety of ultra-high resolution applications including cultural and heritage conservation, medical sciences and geomapping projects (see publications below). Louis Borgeat and his research team specializing in visualization of very large 3D models, has been customizing Atelier3D to perform full 3D reconstruction of histological brain datasets.

The option of transferring large quantities of information transatlantically each time a new version of the model is created is both unpractical and costly. In Atelier3D, spatial data which has already been processed is streamed on-demand from a remote server at sufficient resolution to render images in precise detail on the client side, making scale issues transparent to the remote users.

The BigBrain dataset can be accessed here.

Publications

Publications

  • Amunts, Katrin et al. (2013). An ultrahigh-resolution 3D human brain model. Science [full ref]
  • Borgeat et al., 2009. A framework for the registration of color images with 3D models. Image Processing (ICIP) Proceedings [full ref]
  • Borgeat et al., 2005. GoLD: Interactive display of huge colored and textured models. In: Proc. of SIGGRAPH 2005 [full ref]
  • Louis Borgeat et al., 2007. Visualizing and Analysing the Mona Lisa. Proc of IEEE Computer Graphics and Applications [full ref] [video]
  • Louis Borgeat et al., 2007. Visualizing and analyzing large and detailed 3d datasets – Proc of The 3D Virtual Reconstruction and Visualization of Complex Architectures [full ref]
  • Borgeat et al., 2004. Collaborative visualization and interaction for detailed environment models. In: Proc. of the 10th International Conference on Virtual Systems and Multimedia [full ref]