KAUST Research Conference 2017: Visual Computing – Modeling and Reconstruction

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This conference focused on computer graphics and more specifically on topics in geometry and simulation. KAUST RC-VC wass an exciting opportunity to get together with visual computing experts from KAUST and abroad. The conference featured a series of internationally renowned keynotes speakers, invited talks by faculty and researchers from KAUST, universities world-wide, and industry, as well as student poster session. Bringing renowned experts in the field of visual computing to one spot, KAUST RC-VC offered engaging talks and plenty of room for discussions as well as the opportunity to meet in person with people who excel in their field, be it in academia or industry.

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Recent Submissions

Now showing 1 - 5 of 21
  • Poster

    Rainbow Particle Imaging Velocimetry for Dense 3D Fluid Velocity Imaging

    (2017-04-11) Xiong, Jinhui; Idoughi, Ramzi; Aguirre-Pablo, Andres A.; Aljedaani, Abdulrahman Barakat; Dun, Xiong; Fu, Qiang; Thoroddsen, Sigurdur T; Heidrich, Wolfgang; Computational Imaging Group; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; High-Speed Fluids Imaging Laboratory; Mechanical Engineering Program; Physical Science and Engineering (PSE) Division; Visual Computing Center (VCC)

    Despite significant recent progress, dense, time-resolved imaging of complex, non-stationary 3D flow velocities remains an elusive goal. In this work we tackle this problem by extending an established 2D method, Particle Imaging Velocimetry, to three dimensions by encoding depth into color. The encoding is achieved by illuminating the flow volume with a continuum of light planes (a “rainbow”), such that each depth corresponds to a specific wavelength of light. A diffractive component in the camera optics ensures that all planes are in focus simultaneously. For reconstruction, we derive an image formation model for recovering stationary 3D particle positions. 3D velocity estimation is achieved with a variant of 3D optical flow that accounts for both physical constraints as well as the rainbow image formation model. We evaluate our method with both simulations and an experimental prototype setup.

  • Poster

    A Probabilistic Model for Exteriors of Residential Buildings

    (2017-04-11) Fan, Lubin; Wonka, Peter; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Visual Computing Center (VCC)
  • Poster

    Accurate Simulation of Wound Healing and Skin Deformation

    (2017-04-11) Feess, Stefan; Kurfiss, Kathrin; Michels, Dominik L.; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Visual Computing Center (VCC)
  • Poster

    Ultra-High Resolution Coded Wavefront Sensor

    (2017-04-11) Wang, Congli; Dun, Xiong; Fu, Qiang; Heidrich, Wolfgang; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Visual Computing Center (VCC)
  • Poster

    A New Perspective on Randomized Gossip Algorithms

    (2017-04-11) Loizou, Nicolas; Richtárik, Peter; University of Edinburgh