Structure from motion: origins and originality

Granshaw, Stuart I.

doi:10.1111/phor.12237

Cited by 34 publications

(21 citation statements)

References 14 publications

(19 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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%

Monitoring Alpine Glaciers From Close-Range to Satellite Sensors

Yordanov

Fugazza

Azzoni

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

In this paper the use of different types of remote-sensing techniques for monitoring topographic changes of Alpine glaciers is presented and discussed. Close range photogrammetry based on Structure-from-Motion approach is adopted to process images recorded from ground-based and drone-based stations in order to output dense point clouds. These are then directly compared to detect local changes by mean of M3C2 algorithm, while digital elevation models are interpolated to find global ice thinning and retreat. Medium-resolution satellite imagery can be exploited to monitor the glacier evolution at lower resolution but including the development and collapse of large crevasses. A case study concerning the Forni Glacier in the Raethian Alps (Italy) is presented to demonstrate the feasibility of the proposed approach by adopting data sets collected from 2016 to 2018.

show abstract

Section: Close-/near-range Sensingmentioning

confidence: 99%

Monitoring Alpine Glaciers From Close-Range to Satellite Sensors

Yordanov

Fugazza

Azzoni

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…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%

Automatic Processing of Many Images for 2D/3D Modelling

Barazzetti

Gianinetto

Scaioni

2019

Digital Transformation of the Design, Construction and Management Processes of the Built Environment

View full text Add to dashboard Cite

The era of big data requires increasing automation for the analysis of huge information in a short time and this need becomes critical when dealing with geoinformation. This chapter describes the automatic geocoding of digital images based on high-end Photogrammetric and Remote Sensing methods. In particular, the so-called Structure-from-Motion (SfM) technique is developed to handle image data sets in close-range applications, and here, it is generalized to deal with multiscale applications. Some examples are proposed with panoramic images for the measurement of indoor narrow spaces, with smartphone cameras and UAV for the 3D reconstruction of complex monuments, as well as with airborne and satellite images for the survey at the territorial scale.

show abstract

“…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%

Multi-Image Robust Alignment of Medium-Resolution Satellite Imagery

2018

View full text Add to dashboard Cite

This paper describes an automatic multi-image robust alignment (MIRA) procedure able to simultaneously co-register a time series of medium-resolution satellite images in a bundle block adjustment (BBA) fashion. Instead of the direct co-registration of each image with respect to a reference ‘master’ image on the basis of corresponding features, MIRA also considers those tie points that may be not be shared with the master, but they only connect the other images (‘slaves’) among them. In a first stage, tie points are automatically extracted by using pairwise feature-based matching based on the SURF operator. In a second stage, such extracted features are re-ordered to find corresponding tie points visible on multiple image pairs. A ‘master’ image is then selected with the only purpose to establish the datum of the final image alignment and to instantiate the computation of approximate registration parameters. All the available information obtained so far is fed into a least-squares BBA to estimate the unknowns, which include the registration parameters and the coordinates of tie points re-projected in the ‘master’ image space. The analysis of inner and outer reliability of the observations is applied to assess whether the residual blunders may be located using data snooping, and to evaluate the influence of undetected outliers on the final registration results. Three experiments with simulated datasets and one example consisting of eleven Landsat-5/TM images are reported and discussed. In the case of real data, results have been positively checked against the ones obtained by using alternative procedures (BBA with manual measurements and ‘slave-to-master’ registration based on automatically extracted tie points). These experiments have confirmed the correctness of the MIRA approach and have highlighted the potential of the inner control on the final quality of the solution that may come from the reliability analysis.

show abstract

Structure from motion: origins and originality

Cited by 34 publications

References 14 publications

Monitoring Alpine Glaciers From Close-Range to Satellite Sensors

Monitoring Alpine Glaciers From Close-Range to Satellite Sensors

Automatic Processing of Many Images for 2D/3D Modelling

Multi-Image Robust Alignment of Medium-Resolution Satellite Imagery

Contact Info

Product

Resources

About