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Image-Based Calibration of Spatial Domain Depth-from-Defocus and Application to Automatic Focus Tracking

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Book cover Computer Vision – ACCV 2006 (ACCV 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3851))

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Abstract

Image-based defocus calibration (IBDC) and automatic focus tracking techniques are presented. The proposed technique is based on a Spatial-Domain Convolution/Deconvolution method (STM) developed by Subbarao and Surya [1]. STM uses two blur parameters, σ and β, of a camera lens system to determine a lens step of the best focus. However calibration of these parameters requires internal camera parameters such as focal length, image distance, etc. Without knowing accurate internal parameters, STM is subject to fail to obtain accurate defocus and depth information. We propose image-based sigma and beta calibration techniques for accurate depth measurement. We also show that beta calibration can be applied for automatic focus tracking of a moving object.

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© 2006 Springer-Verlag Berlin Heidelberg

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Park, SY., Moon, J. (2006). Image-Based Calibration of Spatial Domain Depth-from-Defocus and Application to Automatic Focus Tracking. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_76

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  • DOI: https://doi.org/10.1007/11612032_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31219-2

  • Online ISBN: 978-3-540-32433-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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