Range measurement from defocus gradient

@article{Xu1995RangeMF,
  title={Range measurement from defocus gradient},
  author={Shi Xu and David W. Capson and Terry Caelli},
  journal={Machine Vision and Applications},
  year={1995},
  volume={8},
  pages={179-186}
}
Images taken of 3D objects are generally defocused. Depth-from-focus techniques use the defocus information to determine range. However, quantitative measurement of focus is difficult and requires accurate modeling of the point-spread function (PSF). We describe a new method that determines depth using the symmetry and smoothness of focus gradient with respect to the focus position. The technique is passive and uses a monocular imaging system. The performance for estimating range is… CONTINUE READING

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The generation of depth maps via depth-from-defocus

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CITES METHODS & BACKGROUND
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A moment-preserving approach for depth from defocus

  • Pattern Recognition
  • 1998
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CITES BACKGROUND

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Capson obtained his BScEng degree from the University of New Brunswick (1979) and his PhD degree in 1985 from McMaster University

W. David
  • he worked at the IBM Almaden Research Center in San Jose,
  • 1989

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