Fast and stable tracking for AR fusing video and inertial sensor data

14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006, WSCG'2006 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings

Volumn , Issue , 2006, Pages 109-115

  Bleser, Gabriele ^a   Wohlleber, Cedric ^a   Becker, Mario ^a   Stricker, Didier ^a  

^a FRAUNHOFER IGD   (Germany)

Author keywords

Augmented reality; Sensor fusion; Tracking

Indexed keywords

CAMERA IMAGES; CAMERA POSITIONS; INERTIAL MEASUREMENT UNIT; INERTIAL MEASUREMENTS; INERTIAL SENSOR; KALMAN-FILTERING; MODEL-BASED TRACKING; NATURAL FEATURES; POSE ESTIMATION; REAL TIME; RUNTIME SYSTEMS; SAMPLE RATE; SENSOR FUSION; STABILITY AND ROBUSTNESS; SYNTHETIC SEQUENCE; TRACKING FAILURE; VISION-BASED TRACKING;

AUGMENTED REALITY; CAMERAS; INERTIAL NAVIGATION SYSTEMS; SENSORS; SURFACE DISCHARGES; THREE DIMENSIONAL; UNITS OF MEASUREMENT; VISUALIZATION;

COMPUTER VISION;

EID: 76249123800     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. L. Armesto, S. Chroust, M. Vincze, and J. Tornero. Multi-rate fusion with vision and inertial sensors. Robotics and Automation, 2004. Proceedings. ICRA '04, pages 193- 199 Vol.1, 2004.
2. A. Baumberg. Reliable feature matching across widely separated views. In Computer Vision and Pattern Recognition, Volume 1, pages 774-781 vol.1, 2000.
3. O.D. Faugeras. Three-Dimensional Computer Vision: A Geometric Viewpoint. MIT Press, 1993.
4. G.Bleser, Y.Pastarmov, and D.Stricker. Real-time 3d camera tracking for industrial augmented reality applications. In Proc. of WSCG 2005, pages 47-54, 2005.
5. R. Hartley and A. Zissermann. Multiple view geometry in computer vision. 2000.
6. J. Hol. Sensor fusion for camera pose estimation. Master Thesis, University of Twente, 2005.
7. J. Hol, P. Slycke, T. Schoen, and F. Gustafsson. 2d-3d model correspondence for camera pose estimation using sensor fusion. In Proc. of InerVis workshop at the IEEE International Conference on Robotics and Automation, 2005. http://www.xsens.com/.
8. I. Takahiro I. Matthews and S. Baker. The template update problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 810-815, 2004.
9. Y. Ke and R. Sukthankar. Pca-sift: A more distinctive representation for local image descriptors. In Proc. Computer Vision and Pattern Recognition, pages 506-513, 2004.
10. D. G. Lowe. Object recognition from local scale invariant features. In Proc. of the International Conference on computer Vision ICCV, pages 1150-1157, 1999.
11. K. Mikolajczyk and C. Schmid. An affine invariant point detector. In European Conference on Computer Vision, Volume 1, pages 128-142, 2002.
12. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. In Proc. Computer Vision and Pattern Recognition, pages 257-264, 2003.
13. N. Molton, A. Davison, and I. Reid. Locally planar patch features for real-time structure from motion. In Proc. of British Machine Vision Conference, 2004.
14. S. Philippi and G. Bleser. A framework for the comparison of similarity measures in multimedia databases. Accepted for publication in Proc. of the International Conference on Imaging Science, Systems, and Technology, 2005.
15. R.Koch, J.-F. Evers-Senne, J.-M. Frahm, and K.Koeser. 3d reconstruction and rendering from image sequences. In Proc. of WIAMIS, 2005.
16. U. Neumann S. You and R.T. Azuma. Hybrid inertial and vision tracking for augmented reality registration. pages 260-267, 1999.
17. T. Schoen and F. Gustafsson. Integrated navigation of cameras for augmented reality. International Federation of Automatic Control (IFAC) World Congress, Prague, 2005.
18. T. Zinßer, C. Graeßl, and H. Niemann. Efficient feature tracking for long video sequences. In Proc. DAGM Symposium, pages 326-333, 2004.