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Camera calibration and performance evaluation of Depth From Defocus (DFD)

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

Real-time and accurate autofocusing of stationary and moving objects is an important problem in modem 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.

Original languageEnglish
Article number60000A
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6000
DOIs
StatePublished - 2005
EventTwo- and Three-Dimensional Methods for Inspection and Metrology III - Boston, MA, United States
Duration: Oct 24 2005Oct 26 2005

Keywords

  • Autofocusing
  • Camera calibration
  • Depth From Defocus (DFD)
  • Lens vignetting
  • Magnification variation
  • Nonlinear sensor response

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