The shape from focus method presented here uses different focus levels to obtain a sequence of object images. The sum-modified-Laplacian (SML) operator is developed to provide local measures of the quality of image focus. The operator is applied to the image sequence to determine a set of focus measures at each image point. A depth estimation algorithm interpolates a small number of focus measure values to obtain accurate depth estimates. A fully automated shape from focus system has been implemented using an optical microscope and tested on a variety of industrial samples. Experimental results are presented that demonstrate the accuracy and robustness of the proposed method. These results suggest shape from focus to be an effective approach for a variety of challenging visual inspection tasks
%0 Journal Article
%1 308479
%A Nayar, S.K.
%A Nakagawa, Y.
%D Aug 1994
%J Pattern Analysis and Machine Intelligence, IEEE Transactions on
%K GeneralsTechnicalArea algorithm, depth estimation focus from image inspection method, microscope, operator, optical quality, robustness, sequences, shape sum-modified-Laplacian tasks; textureaccuracy, visual
%N 8
%P 824-831
%R 10.1109/34.308479
%T Shape from focus
%V 16
%X The shape from focus method presented here uses different focus levels to obtain a sequence of object images. The sum-modified-Laplacian (SML) operator is developed to provide local measures of the quality of image focus. The operator is applied to the image sequence to determine a set of focus measures at each image point. A depth estimation algorithm interpolates a small number of focus measure values to obtain accurate depth estimates. A fully automated shape from focus system has been implemented using an optical microscope and tested on a variety of industrial samples. Experimental results are presented that demonstrate the accuracy and robustness of the proposed method. These results suggest shape from focus to be an effective approach for a variety of challenging visual inspection tasks
@article{308479,
abstract = {The shape from focus method presented here uses different focus levels to obtain a sequence of object images. The sum-modified-Laplacian (SML) operator is developed to provide local measures of the quality of image focus. The operator is applied to the image sequence to determine a set of focus measures at each image point. A depth estimation algorithm interpolates a small number of focus measure values to obtain accurate depth estimates. A fully automated shape from focus system has been implemented using an optical microscope and tested on a variety of industrial samples. Experimental results are presented that demonstrate the accuracy and robustness of the proposed method. These results suggest shape from focus to be an effective approach for a variety of challenging visual inspection tasks},
added-at = {2010-03-01T21:54:28.000+0100},
author = {Nayar, S.K. and Nakagawa, Y.},
bdsk-file-1 = {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},
bdsk-url-1 = {http://dx.doi.org/10.1109/34.308479},
biburl = {https://www.bibsonomy.org/bibtex/2d90692f8b19305a300c62d39e9b9699d/barabas},
date-added = {2008-05-21 18:54:22 -0400},
date-modified = {2008-05-29 23:29:37 -0400},
description = {References for general exam},
doi = {10.1109/34.308479},
interhash = {9d5bad38090077dc5e11bbd6700c017f},
intrahash = {d90692f8b19305a300c62d39e9b9699d},
issn = {0162-8828},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
keywords = {GeneralsTechnicalArea algorithm, depth estimation focus from image inspection method, microscope, operator, optical quality, robustness, sequences, shape sum-modified-Laplacian tasks; textureaccuracy, visual},
number = 8,
pages = {824-831},
timestamp = {2010-03-01T21:54:31.000+0100},
title = {Shape from focus},
volume = 16,
year = {Aug 1994}
}