A robust recognition technique for dense checkerboard patterns

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 3081-3084

  Dao, Vinh Ninh ^a   Sugimoto, Masanori ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Checkerboard; Geometry reconstruction; Handheld projector camera; Pattern recognition

Indexed keywords

CAMERA CALIBRATION; CHECKERBOARD; CHECKERBOARD PATTERNS; COMPUTER VISION TECHNIQUES; CROSSING POINT; CURRENT TECHNIQUES; DYNAMIC CONDITION; EPIPOLAR GEOMETRY; GEOMETRY RECONSTRUCTION; HAND-HELD PROJECTORS; PRACTICAL USE; PROJECTOR-CAMERA SYSTEM; ROBUST RECOGNITION; SIMPLE GEOMETRIES; SURFACE DISTORTION;

CAMERAS; COMPUTER VISION; OPTICAL PROJECTORS;

COMPUTATIONAL GEOMETRY;

EID: 78149472907     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.755     Document Type: Conference Paper

References (10)

1. J.-Y. Bouguet. Camera calibration toolbox for matlab. http://www.vision.caltech.edu/bouguetj/calib doc/.
2. G. Bradski. The OpenCV Library. Dr. Dobbfs Journal of Software Tools, 2000.
3. J. Canny. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 8(6):679-698, 1986.
4. S. Chang, B. Alan, and F. Mark. Automatic grid finding in calibration patterns using delaunay triangulation, 2003.
5. C. Harris and M. Stephens. A combined corner and edge detection. Proceedings of The Fourth Alvey Vision Conference, pages 147-151, 1988.
6. T. P. Koninckx and L. V. Gool. Real-time range acquisition by adaptive structured light. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 28(3):432-445, 2006.
7. R. Raskar, J. van Baar, P. Beardsley, T. Willwacher, S. Rao, and C. Forlines. ilamps: geometrically aware and self-configuring projectors. SIGGRAPH f03: ACM SIGGRAPH 2003 Papers, pages 809-818, 2003.
8. S. M. Smith and J. M. Brady. Susan - a new approach to low level image processing. International Journal of Computer Vision, 23:45-78, 1995.
9. W. Sun, X. Yang, S. Xiao, and W. Hu. Robust checkerboard recognition for efficient nonplanar geometry registration in projector-camera systems. Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems (PROCAMS), pages 1-7, 2008.
10. Z. Wang, W. Wu, X. Xu, and D. Xue. Recognition and location of the internal corners of planar checkerboard calibration pattern image. Applied Mathematics and Computation, 185(2):894-906, 2007. Special Issue on Intelligent Computing Theory and Methodology. (Pubitemid 46320622)