Depth from Focusing and Defocusing

Yalin Xiong and Steven Shafer
Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '93), July, 1993, pp. 68 - 73.


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Abstract
The problem of obtaining depth information from focusing and defocusing is studied. In depth from focusing, instead of the Fibonacci search, which is often trapped in local maxima, the combination of Fibonacci search and curve fitting is proposed. This combination leads to an unprecedentedly accurate result. A model of the blurring effect that takes geometric blurring as well as imaging blurring into consideration in the calibration of the blurring model is proposed. In spectrogram-based depth from defocusing, a maximal resemblance estimation method is proposed to decrease or eliminate the window effect.

Notes

Text Reference
Yalin Xiong and Steven Shafer, "Depth from Focusing and Defocusing," Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '93), July, 1993, pp. 68 - 73.

BibTeX Reference
@inproceedings{Xiong_1993_4103,
   author = "Yalin Xiong and Steven Shafer",
   title = "Depth from Focusing and Defocusing",
   booktitle = "Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '93)",
   pages = "68 - 73",
   month = "July",
   year = "1993",
}