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Fakhreddine Ababsa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Fakhreddine Ababsa, David Roussel, Malik Mallem
    Photometric Aspects: A New Approach for 3D Free Form Object Recognition Using a Single Luminance Image. [Citation Graph (0, 0)][DBLP]
    AVSS, 2003, pp:131-136 [Conf]
  2. Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem, David Roussel
    Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters. [Citation Graph (0, 0)][DBLP]
    ICAT, 2003, pp:- [Conf]
  3. Madjid Maidi, Fakhreddine Ababsa, Malik Mallem
    Vision-inertial system calibration for tracking in augmented reality. [Citation Graph (0, 0)][DBLP]
    ICINCO, 2005, pp:156-162 [Conf]
  4. Madjid Maidi, Fakhreddine Ababsa, Malik Mallem
    Robust augmented reality tracking based visual pose estimation. [Citation Graph (0, 0)][DBLP]
    ICINCO-RA, 2006, pp:346-351 [Conf]
  5. Fakhreddine Ababsa, David Roussel, Malik Mallem, Jean-Yves Didier
    2D/3D Automatic Matching Technique for 3D Recovering of Free Form Objects. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:430-433 [Conf]
  6. Fakhreddine Ababsa, Malik Mallem
    Inertial and vision head tracker sensor fusion using a particle filter for augmented reality systems. [Citation Graph (0, 0)][DBLP]
    ISCAS (3), 2004, pp:861-864 [Conf]
  7. Fakhreddine Ababsa, Malik Mallem
    Robust line tracking using a particle filter for camera pose estimation. [Citation Graph (0, 0)][DBLP]
    VRST, 2006, pp:207-211 [Conf]
  8. Fakhreddine Ababsa, Malik Mallem
    Hybrid three-dimensional camera pose estimation using particle filter sensor fusion. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2007, v:21, n:1, pp:165-181 [Journal]
  9. Fakhreddine Ababsa, Malik Mallem, David Roussel
    Comparison Between Particle Filter Approach and Kalman Filter-based Technique for Head Tracking in Augmented Reality Systems. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:1021-1026 [Conf]

  10. Markerless Vision-Based Tracking of Partially Known 3D Scenes for Outdoor Augmented Reality Applications. [Citation Graph (, )][DBLP]


  11. Robust circular fiducials tracking and camera pose estimation using particle filtering. [Citation Graph (, )][DBLP]


  12. Advanced 3D Localization by Fusing Measurements from GPS, Inertial and Vision Sensors. [Citation Graph (, )][DBLP]


  13. Robust Camera Egomotion Estimation from 3D Straight Line-Based Environment model. [Citation Graph (, )][DBLP]


  14. On the hybrid aid-localization for outdoor augmented reality applications. [Citation Graph (, )][DBLP]


  15. An Optimal Low Cost Solution for the 3D Free Form Object Recovering Pose Problem. [Citation Graph (, )][DBLP]


  16. Marker Less Vision-Based Tracking of Partially Known 3D Scenes for Outdoor Augmented Reality Applications. [Citation Graph (, )][DBLP]


  17. Robust camera pose estimation using 2d fiducials tracking for real-time augmented reality systems. [Citation Graph (, )][DBLP]


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