Publication: An occlusion insensitive adaptive focus measurement method
| dc.contributor.author | Aydın, Tarkan | |
| dc.contributor.author | Akgül, Yusuf Sinan | |
| dc.contributor.institution | Aydin, Tarkan, Department of Computer Engineering, Gebze Teknik Üniversitesi, Gebze, Turkey, Department of Mathematics and Computer Science, Bahçeşehir Üniversitesi, Istanbul, Turkey | |
| dc.contributor.institution | Akgül, Yusuf Sinan, Department of Computer Engineering, Gebze Teknik Üniversitesi, Gebze, Turkey | |
| dc.date.accessioned | 2025-10-05T16:47:04Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | This paper proposes a new focus measurement method for Depth From Focus to recover depth of scenes. The method employs an all-focused image of the scene to address the focus measure ambiguity problem of the existing focus measures in the presence of occlusions. Depth discontinuities are handled effectively by using adaptively shaped and weighted support windows. The size of the support window can be increased conveniently for more robust depth estimation without introducing any window size related Depth From Focus problems. The experiments on the real and synthetically refocused images show that the introduced focus measurement method works effectively and efficiently in real world applications. © 2010 Optical Society of America. © 2014 Elsevier B.V., All rights reserved. | |
| dc.identifier.doi | 10.1364/OE.18.014212 | |
| dc.identifier.endpage | 14224 | |
| dc.identifier.issn | 10944087 | |
| dc.identifier.issue | 13 | |
| dc.identifier.pubmed | 20588555 | |
| dc.identifier.scopus | 2-s2.0-77953868089 | |
| dc.identifier.startpage | 14212 | |
| dc.identifier.uri | https://doi.org/10.1364/OE.18.014212 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14719/13700 | |
| dc.identifier.volume | 18 | |
| dc.language.iso | en | |
| dc.publisher | Optical Society of American (OSA) [email protected] | |
| dc.relation.oastatus | All Open Access | |
| dc.relation.oastatus | Gold Open Access | |
| dc.relation.source | Optics Express | |
| dc.subject.authorkeywords | Depth Discontinuities | |
| dc.subject.authorkeywords | Depth Estimation | |
| dc.subject.authorkeywords | Depth From Focus | |
| dc.subject.authorkeywords | Focus Measure | |
| dc.subject.authorkeywords | Focus Measurement | |
| dc.subject.authorkeywords | Real-world Application | |
| dc.subject.authorkeywords | Window Size | |
| dc.subject.authorkeywords | Article | |
| dc.subject.authorkeywords | Artificial Intelligence | |
| dc.subject.authorkeywords | Instrumentation | |
| dc.subject.authorkeywords | Light | |
| dc.subject.authorkeywords | Methodology | |
| dc.subject.authorkeywords | Theoretical Model | |
| dc.subject.authorkeywords | Three Dimensional Imaging | |
| dc.subject.authorkeywords | Artificial Intelligence | |
| dc.subject.authorkeywords | Imaging, Three-dimensional | |
| dc.subject.authorkeywords | Light | |
| dc.subject.authorkeywords | Models, Theoretical | |
| dc.subject.indexkeywords | Depth discontinuities | |
| dc.subject.indexkeywords | Depth Estimation | |
| dc.subject.indexkeywords | Depth from focus | |
| dc.subject.indexkeywords | Focus measure | |
| dc.subject.indexkeywords | Focus measurement | |
| dc.subject.indexkeywords | Real-world application | |
| dc.subject.indexkeywords | Window Size | |
| dc.subject.indexkeywords | article | |
| dc.subject.indexkeywords | artificial intelligence | |
| dc.subject.indexkeywords | instrumentation | |
| dc.subject.indexkeywords | light | |
| dc.subject.indexkeywords | methodology | |
| dc.subject.indexkeywords | theoretical model | |
| dc.subject.indexkeywords | three dimensional imaging | |
| dc.subject.indexkeywords | Artificial Intelligence | |
| dc.subject.indexkeywords | Imaging, Three-Dimensional | |
| dc.subject.indexkeywords | Light | |
| dc.subject.indexkeywords | Models, Theoretical | |
| dc.title | An occlusion insensitive adaptive focus measurement method | |
| dc.type | Article | |
| dcterms.references | Subbarao, Murali, Depth from defocus: A spatial domain approach, International Journal of Computer Vision, 13, 3, pp. 271-294, (1994), Pentland, Alex Sandy, Simple range cameras based on focal error, Journal of the Optical Society of America A: Optics and Image Science, and Vision, 11, 11, pp. 2925-2934, (1994), Nayar, Shree K., Real-time focus range sensor, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 12, pp. 1186-1198, (1996), Rajagopalan, A. N., A variational approach to recovering depth from defocused images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19, 10, pp. 1158-1164, (1997), Aslantaş, Veysel, Depth from automatic defocusing, Optics Express, 15, 3, pp. 1011-1023, (2007), Favaro, Paolo, Shape from defocus via diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 3, pp. 518-531, (2008), Krotkov, Eric P., Focusing, International Journal of Computer Vision, 1, 3, pp. 223-237, (1988), Bove, V. Michael J., Entropy-based depth from focus, Journal of the Optical Society of America A: Optics and Image Science, and Vision, 10, 4, pp. 561-566, (1993), Nayar, Shree K., Shape from Focus, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 8, pp. 824-831, (1994), Subbarao, Murali, Accurate Recovery of Three-Dimensional Shape from Image Focus, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17, 3, pp. 266-274, (1995) | |
| dspace.entity.type | Publication | |
| local.indexed.at | Scopus | |
| person.identifier.scopus-author-id | 35106687700 | |
| person.identifier.scopus-author-id | 6603443254 |
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