Automatic detection of checkerboards on blurred and distorted images

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Volumn , Issue , 2008, Pages 3121-3126

  Rufli, Martin ^a   Scaramuzza, Davide ^a   Siegwart, Roland ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; CAMERA CALIBRATION; CORNER DETECTION; DISTORTED IMAGES; HIGHER RESOLUTION; OMNIDIRECTIONAL CAMERAS; OMNIDIRECTIONAL IMAGE; TEST IMAGES;

ALGORITHMS; CAMERAS; INTELLIGENT ROBOTS; OPTICAL TESTING;

DYNAMIC RANDOM ACCESS STORAGE;

EID: 69549090659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2008.4650703     Document Type: Conference Paper

References (18)

1. B. Micusik, Two View Geometry of Omnidirectional Cameras. PhD thesis, Center for Machine Perception, Czech Technical University in Prague, 2004.
2. R. Benosman and S. B. Kang, editors. Panoramic vision: sensors, theory, and applications. Monographs in computer science. Springer Verlag, New York, 2001.
3. R.Y. Tsai, An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, pp. 364-374, 1986. (Pubitemid 16627656)
4. Zhengyou Zhang. A Flexible New Technique for Camera Calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 22, Issue 11, pp.: 1330-1334. November 2000.
5. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge University Press, ISBN: 0521540518, second ed., 2004.
6. Scaramuzza, D., Martinelli, A. and Siegwart, R. A Toolbox for Easy calibrating Omnidirectional Cameras. In Proc. of IROS'06, pp. 5695-5701, China, October 2006, Beijing, (2006). (Pubitemid 46928847)
7. C. Mei and P. Rives, "Single view point omnidirectional camera calibration from planar grids," in IEEE International Conference on Robotics and Automation, April 2007.
8. C. Geyer and K. Daniilidis, "Paracatadioptric camera calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, pp. 687-695, may 2002.
9. Y. Ma, S. Soatto, J. Kosecka, S. Sastry, An invitation to 3D vision, from images to geometric models models, Springer Verlag, ISBN-0-387-00893-894 2003.
10. J. Gluckman and S. Nayar, "Ego-motion and omnidirectional cameras," in 6th International Conference on Computer Vision, pp. 999-1005, 1998.
11. S. Kang, "Catadioptric self-calibration," in IEEE International Conference on Computer Vision and Pattern Recognition, pp. 201-207, 2000.
12. Micusik, B. and Pajdla, T. Estimation of omnidirectional camera model from epipolar geometry. In Proc. of CVPR. ISBN 0-7695-1900-8, US, June 2003, IEEE Computer Society, Madison, (2003).
13. S. Bougnoux, "From projective to euclidean space under any practical situation, a criticism of self-calibration," in 6th International Conference on Computer Vision, pp. 790-796, 1998.
14. Bouguet, J.-Y. Camera Calibration Toolbox for Matlab: http://www.vision.caltech.edu/bouguetj/calib-doc
15. Scaramuzza, D. Omnidirectional Camera Calibration Toolbox for Matlab: Google for "ocamcalib", or go directly to http://asl.epfl.ch/ ~scaramuz/research/Davide-Scaramuzza-files/Research/OcamCalib-Tutorial.htm
16. Mei, C. Omnidirectional Camera Calibration Toolbox for Matlab: http://www.robots.ox.ac.uk/~cmei/Toolbox.html
17. Vezhnevets, V. OpenCV Calibration Object Detection: http://graphics.cs. msu.ru/en/research/calibration/opencv/html
18. Intel Corporation. Open Source Computer Vision Library: http://www.intel.com/technology/computing/opencv