Robust and Accurate Calibration Point Extraction with Multi-scale Chess-Board Feature Detector - Advances in Image and Graphics Technologies - page 164

8. Sun, W., Yang, X., Xiao, S., Hu, W.: Robust checkerboard recognition for efficient non-
planar geometry registration in projector camera systems. In: Proceedings of the 5th
ACM/IEEE International Workshop on Projector Camera Systems. PROCAMS 2008, pp.
1-7. ACM, New York (2008)
9. Cai, S., Zang, Z.: A Deformed Chessboard Pattern for Automatic Camera Calibration In-
ternational Conference on Advanced ICT (2013)
10. Bennett, S., Lasenby, J.: ChESS - Quick and Robust Detection of Chess-board Features.
CoRR (2013)
11. Vezhnevets, V.: OpenCV Calibration Object Detection,
http://graphics.cs.msu.ru/en/research/calibration/opencv.html
12. Bouguet, J., Strobl, Y., Sepp, K., Paredes, W., Arbter, C.: Camera Calibration Toolbox for
Matlab (2008), http://www.vision.caltech.edu/bouguetj
13. Bay, H., Ess, A., Tuytelaars, T., Gool, L.V.: SURF: Speeded Up Robust Features. Computer
Vision and Image Understanding (CVIU) 110(3), 346-359 (2008)
14. Duda, R.O., Hart, P.E.: Use of the Hough Transformation to Detect Lines and Curves in
Pictures. Artificial Intelligence Center (SRI International) (1971)
15. Chen, Y., Sun, J., Wang, G.: Minimizing geometric distance by iterative linear optimization.
In: ICPR, pp. 1-4 (2010)
16. Sun, J.: Design and Optimization of a Calibration Point Extraction Algorithm in the Context
of 3D Model Reconstruction (2012)