Robust and Accurate Calibration Point Extraction with Multi-scale Chess-Board Feature Detector - Advances in Image and Graphics Technologies - page 163

Fig. 19. Reconstructed models

5 Discussion and Conclusion

In this paper we justified several properties of the chess-board vertices and designed a
multi-scale detector with which we develop an accurate and robust chess-board corner
detection algorithm that, according to experiments, performs well even in
ill-illuminated and ill-focused conditions. The accuracy and robustness of our detector
allows it to be employed in more applications related to chess-board detection. It can
also help to refine the vertices detected by other methods.

Acknowledgements. This research was supported by Grant No 2010CB328002 from
The National Basic Research Program of China(973 Program), Grant No.
61232014,61121002,61173080 from National Natural Science Foundation of China.
Also was supported by Grant No. 2013BAK03B07 from The National Key Technology
Research and Development Program of China.

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