2018
DOI: 10.1111/phor.12237
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Structure from motion: origins and originality

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Cited by 29 publications
(16 citation statements)
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“…The term close-range has been used in the Photogrammetry since the 80's to address those projects where images are collected from ground-based stations, in general using large photo-scale if compared to Aerial Photogrammetry (see Atkinson, 1996;Luhmann et al, 2014). Thanks to development of terrestrial laser scanning (TLS -Vosselman and Maas, 2010) and the success of Structure-from-Motion (SfM - Granshaw, 2018b), in the latest 20 years this sector of photogrammetric 3D modelling (also called Terrestrial Photogrammetry) has significantly expanded. With the diffusion of drones (Giordan et al, 2018;Granshaw, 2018a), the possibility of reconstructing the terrain topography and the objects located on its surface by using high-resolution digital photos has impressively grown up.…”
Section: Close-/near-range Sensingmentioning
confidence: 99%
“…The term close-range has been used in the Photogrammetry since the 80's to address those projects where images are collected from ground-based stations, in general using large photo-scale if compared to Aerial Photogrammetry (see Atkinson, 1996;Luhmann et al, 2014). Thanks to development of terrestrial laser scanning (TLS -Vosselman and Maas, 2010) and the success of Structure-from-Motion (SfM - Granshaw, 2018b), in the latest 20 years this sector of photogrammetric 3D modelling (also called Terrestrial Photogrammetry) has significantly expanded. With the diffusion of drones (Giordan et al, 2018;Granshaw, 2018a), the possibility of reconstructing the terrain topography and the objects located on its surface by using high-resolution digital photos has impressively grown up.…”
Section: Close-/near-range Sensingmentioning
confidence: 99%
“…Structure from Motion (SfM) is, nowadays, the most popular technique used in Photogrammetry for image co-registration (in such a case, the correct term is image orientation). The reader can find a review of its origins and development in Granshaw (2018b), including the most relevant literature. In the beginning, SfM was limited to small-medium-size images (up to few megabytes) due to computational limitations of the implemented feature extraction algorithms such as SIFT or SURF (Barazzetti et al 2009).…”
Section: Structure From Motionmentioning
confidence: 99%
“…The connectivity graph is also useful to work out the approximate values for any parameters to be estimated in the global multi-image BBA, see Section 2.5. The adopted procedure is similar to the scheme followed in the 'structure-from-motion' technique [40] for image orientation in close-range photogrammetry. By looking at the connectivity graph, all 'slave' images that are directly linked to the 'master' image may be approximately registered in pairwise, independent manner.…”
Section: Selection Of the 'Master' Imagementioning
confidence: 99%