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.
Image-Based Calibration of Spatial Domain Depth-from-Defocus and Application to Automatic Focus Tracking
Computer Vision – ACCV 2006 ; 9 ; 754-763
Lecture Notes in Computer Science ; 3851 , 9
2006-01-01
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Point Spread Function , Object Distance , Image Distance , Step Number , Reference Distance Computer Science , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Image Processing and Computer Vision , Artificial Intelligence (incl. Robotics) , Algorithm Analysis and Problem Complexity
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