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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Multimodal 3D Digitisation of a Simulated Crime Scene

Authors: Galanakis, George; Zabulis, Xenophon; Evdemon, Theodoros; Koutlemanis, Panagiotis;

Multimodal 3D Digitisation of a Simulated Crime Scene

Abstract

The peer-reviewed publication affiliated to this dataset has been published in Forensic Sci. 2021 an MDPI journal, and can be accessed here: https://doi.org/10.3390/forensicsci1020008. Please cite this when using the dataset. Usually, crimes and more specifically assassinations take part indoors and at particular locations. Under this scope, we demonstrate a range of 3D scanning modalities in a simulated indoor crime scene. We propose 3D scanning as a complement to traditional photographic documentation of the scene. For better comprehension of the reconstruction quality obtained from each modality and/or further research on the topic, we release the 3D files of the scene to the public. We also provide ground-truth measurements as a comparison to those that could be obtained using the 3D reconstructions. The modalities that were utilized are: FARO Focus M70 FARO Freestyle 3DX DSLR and Pix4D photogrammetry software RGB-D scanner based on Asus XTION iPhone 12 Pro Max and Trnio 3D Scanner application

Keywords

LIDAR, Digital Forensics, 3D digitisation, Crime Scene Investigation, laser scanning, 3D reconstruction, photogrammetry

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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