An all-in-one solution to geometric and photometric calibration

Proceedings - ISMAR 2006: Fifth IEEE and ACM International Symposium on Mixed and Augmented Reality

Volumn , Issue , 2006, Pages 69-78

  Pilett, Julien ^a   Geiger, Andreas ^b   Lagger, Pascal ^a   Lepetit, Vincent ^a   Fua, Pascal ^a  

^a EPFL   (Switzerland)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; CAMERAS; PHOTOMETRY; TEXTURES;

AUGMENTED REALITY APPLICATIONS; FIELDS OF VIEWS; FULLY AUTOMATED; MANUAL INTERVENTION; MULTIPLE CAMERAS; PHOTOMETRIC CALIBRATION; PHOTOMETRIC CAMERAS; VIRTUAL 3D OBJECTS;

AUGMENTED REALITY;

EID: 45149134887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMAR.2006.297796     Document Type: Conference Paper

References (21)

1. CVLab Software. http://cvlab.epf1.ch/software/.
2. Y. Amit and D. Geman. Shape Quantization and Recognition with Randomized Trees. Neural Computation, 9(7): 1545-1588, 1997.
3. P. Debevec. Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. In ACM SIGGRAPH, July 1998.
4. G. Drettakis, L. Robert, and S. Bougnoux. Interactive common illumination for computer augmented reality. In Eurographics Rendering Workshop, pages 45-56, June 1997.
5. M. Fiala and C. Shu. Fully Automatic Camera Calibration Using Self-Identifying Calibration Targets. Technical report, National Research Council Canada, 2005.
6. S. Gibson and A. Murta. Interactive Rendering with Real-World Illumination. In Eurographics Workshop on Rendering, June 2000.
7. J. Gross and J. Yellen. Graph theory and its applications. CRC Press, Inc., Boca Raton, FL, USA, 1999.
8. C.G. Harris and M.J. Stephens. A Combined Corner and Edge Detector. In Fourth Alvey Vision Conference, Manchester, 1988.
9. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
10. M. Kanbara and N. Yokoya. Real-Time Estimation of Light Source Environment for Photorealistic Augmented Reality. In International Conference on Pattern Recognition, 2004.
11. V. Lepetit and P. Fua. Keypoint recognition using randomized trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006. In press.
12. V. Lepetit, P. Lagger, and P. Fua. Randomized Trees for Real-Time Keypoint Recognition. In Conference on Computer Vision and Pattern Recognition, San Diego, CA, June 2005.
13. H.G. Maas. Image sequence based automatic multi-camera system calibration techniques. ISPRS Journal of Photogrammetry and Remote Sensing, 54(5-6):352-359, December 1999.
14. S. R. Marschner and D. P. Greenberg. Inverse lighting for photography. In Proceedings of the Fifth Color Imaging Conference, Society for Imaging Science and Technology, 1997.
15. Open Source Computer Vision Library.Intel. http://www.intel.com/ technology/computing/opencv/.
16. I. Sato, Y. Sato, and K. Ikeuchi. Acquiring a Radiance Distribution to Superimpose Virtual Objects onto a Real Scene. IEEE Transactions on Visualization and Computer Graphics, 1999.
17. P. Sturm and S. Maybank. On Plane-Based Camera Calibration: A General Algorithm, Singularities, Applications. In Conference on Computer Vision and Pattern Recognition, pages 432-437, June 1999.
18. T. Svoboda, D. Martinec, and T. Pajdla. A convenient multi-camera self-calibration for virtual environments. PRESENCE: Teleoperators and Virtual Environments, 14(4):407-422, August 2005.
19. T. Ueshiba and F Tomita. Plane-based calibration algorithm for multi-camera systems via factorization of homography matrices. In International Conference on Computer Vision, pages 966-973, 2003.
20. Viconpeak. http://www.vicon.com/.
21. Z. Zhang. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:1330-1334, 2000.