Photogrammetric Measurement of a Wooden Truss

Marčiš, Marián; Fraštia, Marek

doi:10.2478/sjce-2018-0022

Cited by 5 publications

(7 citation statements)

References 19 publications

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“…(a) selection of image datasets (b) transformation of image datasets into an image coordinate system (c) editing and unification of parameters of imagedatasets (3. ) Processing of image datasets [16]:…”

Section: Datasets and Methodologymentioning

confidence: 99%

“…The aim of this paper is not to describe these algorithms, as the principles of the automatic scene reconstruction from images are well described in other literature, e.g. [15,16].…”

Section: No /mentioning

confidence: 99%

“…The PhotoScan [17] software is one of the first user friendly solutions for an automated 3D image modeling, which has enabled the creation of professional results also to non-photogrammetric educated users [16]. Currently, a software version 1.4.4 is available to support a detection of fiducial marks on photos.…”

Section: Processing Of Image Datasetsmentioning

confidence: 99%

“…It supports not only the automated production of dense point clouds, but also multi-image intersection photogrammetry and videogrammetry with the support of coded targets. Also, it supports many transformations and various settings [16]. Currently, PhotoModeler Standard and PhotoModeler Premium are available.…”

Section: Processing Of Image Datasetsmentioning

confidence: 99%

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3d Digital Reconstruction Based on Archived Terrestrial Photographs From Metric Cameras

2019

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The paper deals with the possibilities and limitations of the image processing of digitalized terrestrial photographs from analogue metric cameras. By the end of the 20th century, analogue metric cameras such as Zeiss UMK were used for documentation purposes in the fields of industrial and investment construction, nature and landscape preservation, heritage preservation, etc. Currently, the collections of photographs are stored at specialized archives of many different institutions, such as libraries, museums, universities, etc. These sets of photographs provide a material background for a 3D digital reconstruction of a subject of interest at the time of taking the photographs. The digital image processing of old photographs may be more difficult due to unknown parameters of the used camera, such as the focal length, image coordinates of the fiducial marks and distortion parameters of the lens system, etc. In this case, it may be difficult to process these photographs in a photogrammetric software. The paper presents a methodology for the digital photogrammetric processing of analogue terrestrial photographs. The data processing is based on the parameters of the used metric cameras, which are described in their calibration reports. The image processing was tested in two commercial photogrammetric software tools that utilize the technology of Structure-from-Motion (SfM) or multiimage intersection photogrammetry to process image datasets.

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Section: Datasets and Methodologymentioning

confidence: 99%

“…The aim of this paper is not to describe these algorithms, as the principles of the automatic scene reconstruction from images are well described in other literature, e.g. [15,16].…”

Section: No /mentioning

confidence: 99%

Section: Processing Of Image Datasetsmentioning

confidence: 99%

Section: Processing Of Image Datasetsmentioning

confidence: 99%

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3d Digital Reconstruction Based on Archived Terrestrial Photographs From Metric Cameras

2019

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“…The power output prediction curve of the wind turbine can be obtained in advance using the wind speed prediction value in the weather forecast, and the power output value is given as follows (Marian and Fratia, 2018):…”

Section: Modeling Of Wind Power Generation Systemmentioning

confidence: 99%

Non-Intrusive Power Load Identification for High-Penetration Renewable Energy Grids

Liu

Tan

Su³

2021

Front. Energy Res.

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With the popularity of new energy grids with high penetration rate, classic non-intrusive power load identification algorithms such as hidden Markov model (HMM) need to face the uncertainty caused by new energy generation. It will cause the load state like active power to continue to change, and new state transitions appear during operation, resulting in the lack of robustness of state identification and power decomposition. Aiming to solve this problem, this study proposes and constructs a Gaussian mixture model–binary parameter hidden Markov model (GMM-BPHMM) which takes into account the randomness of new energy power supply, clusters the load status based on active power and steady-state current to reduce the possibility of volatile clustering results from the new energy grid under a high penetration rate, improves the Viterbi algorithm to take into account the updating HMM parameters to achieve the optimal prediction of the load state, considers the random volatility of load power brought by new energy grids, constructs a power calculation optimization model, and realizes the power decomposition of the load based on the principle of maximum likelihood estimation. Finally, on the basis of the public data set AMPds2, the study generated simulation data based on the new energy generation model and verified the method, and the test case verified the effectiveness of the method.

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4D Surface Reconstructions to Study Microscale Structures and Functions in Soil Biogeochemistry

Øst

Höschen

et al. 2021

Environ. Sci. Technol.

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The development of high-resolution microscopy and spectroscopy techniques has allowed the analysis of microscopic 3D objects in fields like nanotechnology and life and soil sciences. Soils have the ability to incorporate and store large amounts of organic carbon. To study this organic matter (OM) sequestration, it is essential to analyze its association with soil minerals at the relevant microaggregate scale. This has been previously studied in 2D. However, 3D surface representations would allow a variable angle and magnification analysis, providing detailed insight on their architecture. Here we illustrate a 4D surface reconstruction workflow able to locate preferential sites for OM deposition with respect to microaggregate topography. We used Helium Ion Microscopy to acquire overlapping Secondary Electron (SE) images to reconstruct the soil topography in 3D. Then we used nanoscale Secondary Ion Mass Spectrometry imaging to chemically differentiate between the OM and mineral constituents forming the microaggregates. This image was projected onto the 3D SE model to create a 4D surface reconstruction. Our results show that organo-mineral associations mainly form at medium curvatures while flat and highly curved surfaces are avoided. This method presents an important step forward to survey the 3D physical structure and chemical composition of microscale biogeochemical systems correlatively.

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Photogrammetric Measurement of a Wooden Truss

Cited by 5 publications

References 19 publications

3d Digital Reconstruction Based on Archived Terrestrial Photographs From Metric Cameras

3d Digital Reconstruction Based on Archived Terrestrial Photographs From Metric Cameras

Non-Intrusive Power Load Identification for High-Penetration Renewable Energy Grids

4D Surface Reconstructions to Study Microscale Structures and Functions in Soil Biogeochemistry

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