A Critical Review of Automated Photogrammetric
Processing of Large Datasets

Remondino, Fabio; Nocerino, Erica; Toschi, I.; Menna, Fabio

doi:10.5194/isprs-archives-xlii-2-w5-591-2017

Cited by 129 publications

(118 citation statements)

References 26 publications

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“…These studies have also made it possible to compare the peculiarities and specificities of the different procedures, with the possibility to obtain the maximum benefit from current hardware and software technologies (Remondino et al, 2017). The various experiments have led to significant developments in terms of precision, accuracy, costs, acquisition times and data processing (Remondino, et al 2014;Apollonio et al, 2014;Fassi, et al, 2013).…”

Section: Related Work and Aimsmentioning

confidence: 99%

Integrated Survey Procedures for the Virtual Reading and Fruition of Historical Buildings

Scandurra

Pulcrano

Cirillo

et al. 2018

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

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ABSTRACT:This paper presents the developments of research related to the integration of digital survey methodologies with reference to imagebased and range-based technologies. Starting from the processing of point clouds, the data were processed for both the geometric interpretation of the space as well as production of three-dimensional models that describe the constitutive and morphological relationships. The subject of the study was the church of San Carlo all'Arena in Naples (Italy), with a HBIM model being produced that is semantically consistent with the real building. Starting from the data acquired, a visualization system was created for the virtual exploration of the building.

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Section: Related Work and Aimsmentioning

confidence: 99%

Integrated Survey Procedures for the Virtual Reading and Fruition of Historical Buildings

Scandurra

Pulcrano

Cirillo

et al. 2018

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

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“…Consequently, the updating of point clouds is an expensive process. But, with the improvement of RGB cameras performance during the last few years (Nocerino, 2017, Masiero, 2106, the use of imagederived point clouds has become a suitable alternative. The use of these point clouds has the advantage of dramatically reducing the cost of point cloud updating without losing density and accuracy ( Figure 4).…”

Section: Introductionmentioning

confidence: 99%

“…The SfM approach (Schönberger and Frahm, 2016) is an efficient and robust technique for obtaining 3D models or point clouds using smartphone camera imagery (Nocerino, 2017), (Golodetz, 2018). The absolute scale and the proper georeferencing of the 3D models can be achieved using Ground Control, GNSS tagged images, or a combination of both.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of Smartphone Based Photogrammetric Point Clouds for the Generation of Accessibility Maps

Angelats

Parés

Kumar

2018

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

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ABSTRACT:Accessible cities with accessible services are an old claim of people with reduced mobility. But this demand is still far away of becoming a reality as lot of work is required to be done yet. First step towards accessible cities is to know about real situation of the cities and its pavement infrastructure. Detailed maps or databases on street slopes, access to sidewalks, mobility in public parks and gardens, etc. are required. In this paper, we propose to use smartphone based photogrammetric point clouds, as a starting point to create accessible maps or databases. This paper analyses the performance of these point clouds and the complexity of the image acquisition procedure required to obtain them. The paper proves, through two test cases, that smartphone technology is an economical and feasible solution to get the required information, which is quite often seek by city planners to generate accessible maps. The proposed approach paves the way to generate, in a near term, accessibility maps through the use of point clouds derived from crowdsourced smartphone imagery.

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“…The raw dense point cloud is then further processed to obtain a mesh with photographic texture mapped on it, typically at full image resolution (Remondino et al, 2013;Menna et al, 2012).…”

Section: General Digitization Procedures Using a Turntablementioning

confidence: 99%

“…Various investigations (Wenzel et al, 2013;GonizziBarsanti et al, 2014;Toschi et al, 2014;Macher et al, 2017) demonstrated that, with respect to other methods, automation in image-based methods has reached a very efficient level in various application projects, with great potentials. Beside some processing open issues (Nocerino et al, 2014;Menna et al, 2016;Remondino et al, 2017), image acquisition is still a very crucial step, limiting the quality of the final 3D results. Particularly, in case of mass heritage 3D digitization projects (Europeana; Google Art Project; Santos et al, 2017aSantos et al, , 2017b or complex objects with non-collaborative surfaces, the whole 3D digitization pipeline based on a manual image acquisition followed by an offline processing may be not cost effective.…”

Section: Introductionmentioning

confidence: 99%

An Open Source Low-Cost Automatic System For Image-Based 3d Digitization

Menna

Nocerino

Morabito

et al. 2017

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

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ABSTRACT:3D digitization of heritage artefacts, reverse engineering of industrial components or rapid prototyping-driven design are key topics today. Indeed, millions of archaeological finds all over the world need to be surveyed in 3D either to allow convenient investigations by researchers or because they are inaccessible to visitors and scientists or, unfortunately, because they are seriously endangered by wars and terrorist attacks. On the other hand, in case of industrial and design components there is often the need of deformation analyses or physical replicas starting from reality-based 3D digitisations. The paper is aligned with these needs and presents the realization of the ORION (arduinO Raspberry pI rOtating table for image based 3D recostructioN) prototype system, with its hardware and software components, providing critical insights about its modular design. ORION is an image-based 3D reconstruction system based on automated photogrammetric acquisitions and processing. The system is being developed under a collaborative educational project between FBK Trento, the University of Trento and internship programs with high school in the Trentino province (Italy).

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A Critical Review of Automated Photogrammetric Processing of Large Datasets

Cited by 129 publications

References 26 publications

Integrated Survey Procedures for the Virtual Reading and Fruition of Historical Buildings

Integrated Survey Procedures for the Virtual Reading and Fruition of Historical Buildings

Feasibility of Smartphone Based Photogrammetric Point Clouds for the Generation of Accessibility Maps

An Open Source Low-Cost Automatic System For Image-Based 3d Digitization

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