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Robust and Accurate Calibration Point Extraction with Multi-scale Chess-Board Feature Detector

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Advances in Image and Graphics Technologies (IGTA 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 437))

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Abstract

Chess-board grid has been widely used for camera calibration and the associated feature point extraction algorithm draws much attention. In this paper, a multi-scale chess-board feature point detector is proposed, along with a chess-board matching algorithm for a specific marker used in our 3D reconstruction system. Experiments show that our method is more robust and accurate compared to commonly used approaches.

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Liu, Y., Chen, Y., Wang, G. (2014). Robust and Accurate Calibration Point Extraction with Multi-scale Chess-Board Feature Detector. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Huang, K. (eds) Advances in Image and Graphics Technologies. IGTA 2014. Communications in Computer and Information Science, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45498-5_18

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  • DOI: https://doi.org/10.1007/978-3-662-45498-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45497-8

  • Online ISBN: 978-3-662-45498-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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