Computing depth from out-of-focus blur using a local frequency representation

We present a method to compute depth from the amount of defocus in two images obtained from the same view-point but with different camera parameter settings. The change in defocus (blur) between the two images is proportional to the depth in the scene. We introduce a novel method to estimate the blu...

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Bibliographic Details
Published inPattern Recognition, 1994 12th International Conference On. Vol. 1 Vol. 1; pp. 153 - 158 vol.1
Main Author Gokstorp, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1994
Subjects
Cameras
Focusing
Frequency estimation
Geometry
Image processing
Laboratories
Layout
Lenses
Optical imaging
Robustness
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ISBN0818662654
9780818662652
DOI10.1109/ICPR.1994.576248

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Summary:We present a method to compute depth from the amount of defocus in two images obtained from the same view-point but with different camera parameter settings. The change in defocus (blur) between the two images is proportional to the depth in the scene. We introduce a novel method to estimate the blur using a multiresolution local frequency representation of the input image pair. A confidence measure is used to discriminate between high error and low error blur estimates. Quantitative experimental results are shown for both real and synthetic images.
ISBN:0818662654
9780818662652
DOI:10.1109/ICPR.1994.576248