Data for 3D reconstruction and point cloud classification using machine learning in cultural heritage environment

Pepe, Massimiliano; Alfio, Vincenzo Saverio; Costantino, Domenica; Scaringi, Daniele

doi:10.1016/j.dib.2022.108250

Cited by 20 publications

(8 citation statements)

References 8 publications

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“…The UAS (Unmanned Aircraft Systems) used in the survey of the Area of Interest (AOI) was DJI Mavic 2 Pro, developed by DJI Company, Shenzhen. DJI Mavic 2 Pro is a quadcopter equipped with a high-resolution colour camera (20MP, 1" sensor) [11].…”

Section: B Survey Techniques and Methodsmentioning

confidence: 99%

Experiences of TLS, terrestrial and UAV photogrammetry in Cultural Heritage environment for restoration and maintenance purposes of Royal Racconigi castle, Italy

Costantino¹,

Rossi²,

Pepe³

et al. 2023

Proceedings of the 2022 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage

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The aim of the work is to describe experiences in the field of the survey of cultural heritage with the use of Terrestrial Laser Scanner and terrestrial and UAV photogrammetry. In particular, using the latest technologies, the work describes a methodology and survey techniques capable of producing 2D and 3D models suitable for subsequent restoration or maintenance work. The case study taken into consideration concern the Royal Racconigi Castle (Italy).

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Section: B Survey Techniques and Methodsmentioning

confidence: 99%

Experiences of TLS, terrestrial and UAV photogrammetry in Cultural Heritage environment for restoration and maintenance purposes of Royal Racconigi castle, Italy

Costantino¹,

Rossi²,

Pepe³

et al. 2023

Proceedings of the 2022 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage

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“…Of course, these polygon reduction schemes will always infer a representation accuracy drop, which is, to some extent, anticipated in FEM modeling. On the other hand, most sophisticated state-of-the-art implementations entail machine learning and even deep learning for class recognition and primitive extraction [62] that reach the stone level [53,57,59]. Contemporary research focuses on a shape-agnostic point cloud-driven segmentation [63] that facilitates primitive extraction, thus allowing for more comprehensive analysis, such as [59,64] or DEM [12].…”

Section: D Modeling For Fem Analysismentioning

confidence: 99%

3D Modeling & Analysis Techniques for the Apollo Temple in Delphi

Maravelakis,

Giannioti,

Psalti

et al. 2023

Buildings

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This paper demonstrates the application and usage of advanced 3D modeling techniques on monuments through the Apollo Temple in Delphi case study. Firstly, it combines 3D scanning and unmanned aerial vehicle (UAV) photogrammetry to produce an accurate 3D model of the monument, and afterward, it performs finite element modeling (FEM) analysis for both static and dynamic cases. Collapsing scenarios in the case of earthquakes are produced, predicting which parts would first collapse and under which regime the collapsing mechanism would be activated. From the results disclosed herein, the frequency profile of the seismic activity that could lead to resonance with the structure’s dynamic characteristics, and therefore to excessive damages or collapse, was identified. Static structural analysis pinpoints that maximum stress exhibited on the columns’ base never exceeds 0.1338 MPa. Among others, the main novelty of this paper is that it consists of an integrated and multidisciplinary paradigm that advances the available historical knowledge for a quite heavily investigated site.

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“…Unmanned aerial vehicles (UAVs) have become indispensable tools for capturing high-resolution images of tidal flat environments, facilitating detailed 3D reconstructions crucial for the geosciences. Unmanned aerial vehicles (UAVs), renowned for their agility, versatility, speed, and cost-effectiveness, serve as invaluable platforms for aerial photography, enabling the swift capture of high-resolution images with vast potential for generating geographic mapping data [ 1 , 2 ]. Over recent decades, UAV photogrammetry has found applications across various disciplines within the geosciences, including sedimentology [ 3 , 4 ], earthquake geology [ 5 , 6 ], structural geology [ 7 ], geomorphology [ 8 ], engineering geology [ 9 , 10 ], archaeology [ 11 , 12 ], forestry [ 13 , 14 ], and landscape evolution and natural hazards [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Hash Encoding and Brightness Correction in 3D Industrial and Environmental Reconstruction of Tidal Flat Neural Radiation

Ge,

Wang,

Zhu

et al. 2024

Sensors

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We present an innovative approach to mitigating brightness variations in the unmanned aerial vehicle (UAV)-based 3D reconstruction of tidal flat environments, emphasizing industrial applications. Our work focuses on enhancing the accuracy and efficiency of neural radiance fields (NeRF) for 3D scene synthesis. We introduce a novel luminance correction technique to address challenging illumination conditions, employing a convolutional neural network (CNN) for image enhancement in cases of overexposure and underexposure. Additionally, we propose a hash encoding method to optimize the spatial position encoding efficiency of NeRF. The efficacy of our method is validated using diverse datasets, including a custom tidal flat dataset and the Mip-NeRF 360 dataset, demonstrating superior performance across various lighting scenarios.

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Data for 3D reconstruction and point cloud classification using machine learning in cultural heritage environment

Cited by 20 publications

References 8 publications

Experiences of TLS, terrestrial and UAV photogrammetry in Cultural Heritage environment for restoration and maintenance purposes of Royal Racconigi castle, Italy

Experiences of TLS, terrestrial and UAV photogrammetry in Cultural Heritage environment for restoration and maintenance purposes of Royal Racconigi castle, Italy

3D Modeling & Analysis Techniques for the Apollo Temple in Delphi

Hash Encoding and Brightness Correction in 3D Industrial and Environmental Reconstruction of Tidal Flat Neural Radiation

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