Quality of 3D Models Generated by SFM Technology

Marčiš, Marián

doi:10.2478/sjce-2013-0017

Cited by 17 publications

(13 citation statements)

References 6 publications

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“…Opposed to conventional photogrammetry, SFM uses algorithms to detect and match key points in overlapping areas of the pictures automatically (Skarlatos and Kiparissi 2012). These key points are then arranged in a 3D point cloud (Marčiš 2013).…”

Section: Photogrammetrymentioning

confidence: 99%

“…Photogrammetry software used to generate point clouds has a tendency to correct for missing information by using the surrounding information to automatically fill holes via smoothing (Marčiš, 2013). Thus holes or other shaded areas may be treated as part of the texture by the software which can lead to the creation of artefacts in the model (Marčiš, 2013;Chandler and Buckley, 2016). Another issue is demonstrated by the incomplete reconstruction of thin protrusions (e.g.…”

Section: Features Of the Objects To Be Digitisedmentioning

confidence: 99%

“…Artificial light is constant and adjustable depending on colours and tones of the photographed object. Flash is usually not recommended for photogrammetry since it creates a lot of shadows and darkness in the non-illuminated part of the scene (Marčiš et al 2013).…”

Section: Camera Settingsmentioning

confidence: 99%

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Application of Photogrammetry in Biomedical Science

Struck

Cordoni

Aliotta

et al. 2019

Advances in Experimental Medicine and Biology

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Photogrammetry is an upcoming technology in biomedical science as it provides a non-invasive and cost-effective alternative to established 3D imaging techniques such as computed tomography. This review introduces the photogrammetry approaches currently used for digital 3D reconstruction in biomedical science and discusses their suitability for different applications. It aims to offer the reader a better understanding of photogrammetry as a 3D reconstruction technique and to provide some guidance on how to choose the appropriate photogrammetry approach for their research area (including single-versus multi-camera setups, structure-from-motion versus conventional photogrammetry and macro-versus microphotogrammetry) as well as guidance on how to obtain high-quality data. This review highlights some key advantages of photogrammetry for a variety of applications in biomedical science, but it also discusses the limitations of this technique and the importance of taking steps to obtain high-quality images for accurate 3D reconstruction.

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Section: Photogrammetrymentioning

confidence: 99%

Section: Features Of the Objects To Be Digitisedmentioning

confidence: 99%

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Application of Photogrammetry in Biomedical Science

Struck

Cordoni

Aliotta

et al. 2019

Advances in Experimental Medicine and Biology

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“…In particular, it bought more detailed DSM and orthophoto. The created orthophoto has a radiometrically inferior quality, which is given by the type of ordinary cheap camera used in the RPAS and also by the flight plan and atmospheric haze (the results would be better for overflight in two perpendicular directions, but it was not possible due to time and weather conditions) [48].…”

Section: Final Remarksmentioning

confidence: 99%

High Resolution Drone Surveying of the Pista Geoglyph in Palpa, Peru

2018

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Currently, satellite images can be used to document historical or archaeological sites in areas that are distant, dangerous, or expensive to visit, and they can be used instead of basic fieldwork in several cases. Nowadays, they have final resolution on 35–50 cm, which can be limited for searching of fine structures. Results using the analysis of very high resolution (VHR) satellite data and super resolution data from drone on an object nearby Palpa, Peru are discussed in this article. This study is a part of Nasca project focused on using satellite data for documentation and the analysis of the famous geoglyphs in Peru near Palpa and Nasca, and partially on the documentation of other historical objects. The use of drone shows advantages of this technology to achieve high resolution object documentation and analysis, which provide new details. The documented site was the “Pista” geoglyph. Discovering of unknown geoglyphs (a bird, a guinea pig, and other small drawings) was quite significant in the area of the well-known geoglyph. The new data shows many other details, unseen from the surface or from the satellite imagery, and provides the basis for updating current knowledge and theories about the use and construction of geoglyphs.

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“…The software was chosen for its reliability [Marčiš 2013] and computational speed [Remondino 2014]. Moreover, its chunk-based interface is suited to the digitization protocol adopted for this project, which uses the union of two different chunks for every seal [Mallison 2014].…”

Section: Modelingmentioning

confidence: 99%

Photogrammetry and macro photography. The experience of the MUSINT II Project in the 3D digitizing process of small size archaeological artifacts

Marziali¹,

Dionisio²

2017

SDH

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The MUSINT II project was created to publicize and promote Minoan glyptic, a little-known archaeological heritage. Its contents were designed to involve both specialists and the general public (adults and children). The project focuses on the 3D digitalization of seventeen very small (ca. 15 mm diameter) seals, stored in the archives of the National Archaeological Museum of Florence. The digitalization of these artifacts required both a high-quality resolution technique capable of capturing their morphology and decorative motifs and also that the resulting 3D models were appealing to the target audience. For this reason, an approach based on Structure from Motion (SfM) photogrammetry was chosen. This technology makes it possible to obtain three-dimensional reproductions from photographs made by non-dedicated devices, but the tiny-object survey required specific instruments and skills in order to be scanned in such a way as to acquire a high quality and shadow-free texture. The macro photography technique was applied together with a specific workflow to obtain high quality photogrammetric models and to save time in acquiring and processing images. With this methodology, 3D models of high metric precision mesh and maximum color fidelity textures were obtained in the Agisoft Photoscan software. This process delivers results with high level detail for low costs and minimal acquisition and processing time (ca. four hours).

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Quality of 3D Models Generated by SFM Technology

Abstract: Research field: close-range photogrammetry, documentation of a cultural heritage using photogrammetric methods, computer vision Address:

Cited by 17 publications

References 6 publications

Application of Photogrammetry in Biomedical Science

Application of Photogrammetry in Biomedical Science

High Resolution Drone Surveying of the Pista Geoglyph in Palpa, Peru

Photogrammetry and macro photography. The experience of the MUSINT II Project in the 3D digitizing process of small size archaeological artifacts

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