The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Shape from focus
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.>
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Cites
Principles of Optics: 60th Anniversary Edition
Born, M., & Wolf, E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108769914 · Cited by 26,251
Theory for Off-Specular Reflection From Roughened Surfaces*
Torrance, K. E., & Sparrow, E. M. (1967) · Journal of the Optical Society of America · doi:10.1364/josa.57.001105 · Cited by 1,855
Krotkov, E. (2004) · International Journal of Computer Vision · doi:10.1007/bf00127822 · Cited by 847
Grossmann, P. (1987) · Pattern Recognition Letters · doi:10.1016/0167-8655(87)90026-2 · Cited by 218
Koretz, J. F., & Handelman, G. H. (1988) · Scientific American · doi:10.1038/scientificamerican0788-92 · Cited by 153
Pyramid based depth from focus
Darrell, T., & Wohn, K. (2003) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1988.196282 · Cited by 127
Cited by
Phase shifting algorithms for fringe projection profilometry: A review
Zuo, C., Feng, S., Huang, L., Tao, T., Yin, W., & Chen, Q. (2018) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2018.04.019 · Cited by 1,291
Analysis of focus measure operators for shape-from-focus
Pertuz, S., Puig, D., & Garcia, M. A. (2013) · Pattern Recognition · doi:10.1016/j.patcog.2012.11.011 · Cited by 765
Evaluation of focus measures in multi-focus image fusion
Huang, W., & Jing, Z. (2007) · Pattern Recognition Letters · doi:10.1016/j.patrec.2006.09.005 · Cited by 566
Local scale control for edge detection and blur estimation
Elder, J. H., & Zucker, S. W. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.689301 · Cited by 558
Quadtree-based multi-focus image fusion using a weighted focus-measure
Bai, X., Zhang, Y., Zhou, F., & Xue, B. (2015) · Information Fusion · doi:10.1016/j.inffus.2014.05.003 · Cited by 277
Metadata
- Authors
- Nayar, S. K., & Nakagawa, Y.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1994
- Volume
- 16
- Issue
- 8
- Pages
- 824-831
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2166774562
- Cited by
- 1,205
- References
- 6
- FWCI
- 19.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nayar, S. K., & Nakagawa, Y. (1994). Shape from focus. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.308479
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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