2013
DOI: 10.1016/j.imavis.2013.07.005
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Reliability measure for shape-from-focus

Abstract: This is the author’s version of a work that was accepted for publication in Journal Image and Vision Computing . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal Image and Vision Computing , 31, 10 (2013) DOI: 10.1016/j.imavis.2013.07.0… Show more

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Cited by 29 publications
(15 citation statements)
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“…The latter holds for the simulated depth maps used for the comparison, but is unrealistic for real data. The problem of unreliable regions has been addressed in [9] before, however, by making a binary decision for or against the reliability of each pixel. Our variational approach handles unreliable regions automatically, in the sense that they do not show large contrast maxima such that their influence on the total energy is small.…”
Section: Experiments On Simulated Datamentioning
confidence: 99%
See 1 more Smart Citation
“…The latter holds for the simulated depth maps used for the comparison, but is unrealistic for real data. The problem of unreliable regions has been addressed in [9] before, however, by making a binary decision for or against the reliability of each pixel. Our variational approach handles unreliable regions automatically, in the sense that they do not show large contrast maxima such that their influence on the total energy is small.…”
Section: Experiments On Simulated Datamentioning
confidence: 99%
“…In [7,8], the authors proposed to detect regions with a high variance in the depth map and suggested to smooth the depth in these parts by interpolation. Pertuz, Puig, and Garcia analyzed the behavior of the contrast curve in order to identify and remove low-reliability regions of the depth map in [9]. Ideas for using different focus measures and fusing the resulting depth estimates in a variational approach using the total variation (TV) regularization have been proposed in [10].…”
Section: Introductionmentioning
confidence: 99%
“…By collating information from all pixels in an image, both the height information for each pixel and a sharp in-focus image at all locations can be reconstructed. The method has been applied successfully to microscopic images which typically have a relatively narrow depth of field [21], but has not been so widely used with conventional camera set-ups [22]. The effectiveness of the method depends on the imaging details, including the presence of features which can help identify the degree of focus.…”
Section: Image Analysismentioning
confidence: 99%
“…The effectiveness of the method depends on the imaging details, including the presence of features which can help identify the degree of focus. Details of the algorithm, including different measures of the depth of focus, affect the reliability and effectiveness of the method Pertuz [22,23].…”
Section: Image Analysismentioning
confidence: 99%
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