Paper
7 November 2005 Camera calibration and performance evaluation of depth from defocus (DFD)
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Abstract
Real-time and accurate autofocusing of stationary and moving objects is an important problem in modern digital cameras. Depth From Defocus (DFD) is a technique for autofocusing that needs only two or three images recorded with different camera parameters. In practice, there exist many factors that affect the performance of DFD algorithms, such as nonlinear sensor response, lens vignetting, and magnification variation. In this paper, we present calibration methods and algorithms for these three factors. Their correctness and effects on the performance of DFD have been investigated with experiments.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao Xian and Murali Subbarao "Camera calibration and performance evaluation of depth from defocus (DFD)", Proc. SPIE 6000, Two- and Three-Dimensional Methods for Inspection and Metrology III, 60000A (7 November 2005); https://doi.org/10.1117/12.631194
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CITATIONS
Cited by 1 scholarly publication and 2 patents.
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KEYWORDS
Sensors

Calibration

Cameras

Vignetting

Polonium

Sensor calibration

Digital cameras

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