ENHANCING CLOSE-UP IMAGE BASED 3D DIGITISATION WITH FOCUS STACKING
The 3D digitisation of small artefacts is a very complicated procedure because of their complex morphological feature structures, concavities, rich decorations, high frequency of colour changes in texture, increased accuracy requirements etc. Image-based methods present a low cost, fast and effectiv...
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Format: | Article |
Language: | English |
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Copernicus Publications
2017-08-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W5/421/2017/isprs-archives-XLII-2-W5-421-2017.pdf |
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author | G. Kontogianni R. Chliverou A. Koutsoudis G. Pavlidis A. Georgopoulos |
author_facet | G. Kontogianni R. Chliverou A. Koutsoudis G. Pavlidis A. Georgopoulos |
author_sort | G. Kontogianni |
collection | DOAJ |
description | The 3D digitisation of small artefacts is a very complicated procedure because of their complex morphological feature structures, concavities, rich decorations, high frequency of colour changes in texture, increased accuracy requirements etc. Image-based methods present a low cost, fast and effective alternative because laser scanning does not meet the accuracy requirements in general. A shallow Depth of Field (DoF) affects the image-based 3D reconstruction and especially the point matching procedure. This is visible not only in the total number of corresponding points but also in the resolution of the produced 3D model. The extension of the DoF is a very important task that should be incorporated in the data collection to attain a better quality of the image set and a better 3D model. An extension of the DoF can be achieved with many methods and especially with the use of the focus stacking technique. In this paper, the focus stacking technique was tested in a real-world experiment to digitise a museum artefact in 3D. The experiment conditions include the use of a full frame camera equipped with a normal lens (50mm), with the camera being placed close to the object. The artefact has already been digitised with a structured light system and that model served as the reference model in which 3D models were compared and the results were presented. |
first_indexed | 2024-12-12T00:52:58Z |
format | Article |
id | doaj.art-3c94ddafe0d04c07a7edbd9fdfaba253 |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-12-12T00:52:58Z |
publishDate | 2017-08-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-3c94ddafe0d04c07a7edbd9fdfaba2532022-12-22T00:43:57ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-08-01XLII-2-W542142510.5194/isprs-archives-XLII-2-W5-421-2017ENHANCING CLOSE-UP IMAGE BASED 3D DIGITISATION WITH FOCUS STACKINGG. Kontogianni0R. Chliverou1A. Koutsoudis2G. Pavlidis3A. Georgopoulos4Laboratory of Photogrammetry, School of Rural and Surveying Engineering, National Technical University of Athens – 15780 Zografou Athens, GreeceLaboratory of Photogrammetry, School of Rural and Surveying Engineering, National Technical University of Athens – 15780 Zografou Athens, GreeceAthena Research Centre, University Campus at Kimmeria, PO BOX 159, GR-67100, Xanthi, GreeceAthena Research Centre, University Campus at Kimmeria, PO BOX 159, GR-67100, Xanthi, GreeceLaboratory of Photogrammetry, School of Rural and Surveying Engineering, National Technical University of Athens – 15780 Zografou Athens, GreeceThe 3D digitisation of small artefacts is a very complicated procedure because of their complex morphological feature structures, concavities, rich decorations, high frequency of colour changes in texture, increased accuracy requirements etc. Image-based methods present a low cost, fast and effective alternative because laser scanning does not meet the accuracy requirements in general. A shallow Depth of Field (DoF) affects the image-based 3D reconstruction and especially the point matching procedure. This is visible not only in the total number of corresponding points but also in the resolution of the produced 3D model. The extension of the DoF is a very important task that should be incorporated in the data collection to attain a better quality of the image set and a better 3D model. An extension of the DoF can be achieved with many methods and especially with the use of the focus stacking technique. In this paper, the focus stacking technique was tested in a real-world experiment to digitise a museum artefact in 3D. The experiment conditions include the use of a full frame camera equipped with a normal lens (50mm), with the camera being placed close to the object. The artefact has already been digitised with a structured light system and that model served as the reference model in which 3D models were compared and the results were presented.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W5/421/2017/isprs-archives-XLII-2-W5-421-2017.pdf |
spellingShingle | G. Kontogianni R. Chliverou A. Koutsoudis G. Pavlidis A. Georgopoulos ENHANCING CLOSE-UP IMAGE BASED 3D DIGITISATION WITH FOCUS STACKING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | ENHANCING CLOSE-UP IMAGE BASED 3D DIGITISATION WITH FOCUS STACKING |
title_full | ENHANCING CLOSE-UP IMAGE BASED 3D DIGITISATION WITH FOCUS STACKING |
title_fullStr | ENHANCING CLOSE-UP IMAGE BASED 3D DIGITISATION WITH FOCUS STACKING |
title_full_unstemmed | ENHANCING CLOSE-UP IMAGE BASED 3D DIGITISATION WITH FOCUS STACKING |
title_short | ENHANCING CLOSE-UP IMAGE BASED 3D DIGITISATION WITH FOCUS STACKING |
title_sort | enhancing close up image based 3d digitisation with focus stacking |
url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W5/421/2017/isprs-archives-XLII-2-W5-421-2017.pdf |
work_keys_str_mv | AT gkontogianni enhancingcloseupimagebased3ddigitisationwithfocusstacking AT rchliverou enhancingcloseupimagebased3ddigitisationwithfocusstacking AT akoutsoudis enhancingcloseupimagebased3ddigitisationwithfocusstacking AT gpavlidis enhancingcloseupimagebased3ddigitisationwithfocusstacking AT ageorgopoulos enhancingcloseupimagebased3ddigitisationwithfocusstacking |