• MCMC-based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points 

      Kaess, Michael; Zboinski, Rafal; Dellaert, Frank (Georgia Institute of TechnologySpringer Berlin / Heidelberg, 2004-05)
      We investigate the automated reconstruction of piecewise smooth 3D curves, using subdivision curves as a simple but flexible curve representation. This representation allows tagging corners to model nonsmooth features ...
    • A Rao-Blackwellized Particle Filter for EigenTracking 

      Khan, Zia; Balch, Tucker; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-06)
      Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black’s influential paper on EigenTracking, they were successfully applied in tracking. For noisy targets, optimi ...
    • A Rao-Blackwellized Parts-Constellation Tracker 

      Schindler, Grant; Dellaert, Frank (Georgia Institute of TechnologySpringer Berlin / Heidelberg, 2005)
      We present a method for efficiently tracking objects represented as constellations of parts by integrating out the shape of the model. Parts-based models have been successfully applied to object recognition and tracking. ...
    • Reconstruction of Objects with Jagged Edges through Rao-Blackwellized Fitting of Piecewise Smooth Subdivision Curves 

      Kaess, Michael; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2003-10)
      In some applications objects are known to have non-smooth or “jagged” edges, which are not well approximated by smooth curves. We use subdivision curves as a simple but flexible curve representation, which allows tagging ...
    • A Sample of Monte Carlo Methods in Robotics and Vision 

      Dellaert, Frank (Georgia Institute of TechnologyThe Institute of Statistical Mathematics (ISM), 2003-12)
      Approximate inference by sampling from an appropriately constructed posterior has recently seen a dramatic increase in popularity in both the robotics and computer vision community. In this paper, I will describe a number ...