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Crime Scene Reconstruction Using a Fully Geomatic Approach
This paper is focused on two main topics: crime scene reconstruction, based on a geomatic approach, and crime scene analysis, through GIS based procedures. According to the experience of the authors in performing forensic analysis for real cases, the aforesaid topics will be examined with the specif...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3707450/ https://www.ncbi.nlm.nih.gov/pubmed/27873870 http://dx.doi.org/10.3390/s8106280 |
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author | Agosto, Eros Ajmar, Andrea Boccardo, Piero Tonolo, Fabio Giulio Lingua, Andrea |
author_facet | Agosto, Eros Ajmar, Andrea Boccardo, Piero Tonolo, Fabio Giulio Lingua, Andrea |
author_sort | Agosto, Eros |
collection | PubMed |
description | This paper is focused on two main topics: crime scene reconstruction, based on a geomatic approach, and crime scene analysis, through GIS based procedures. According to the experience of the authors in performing forensic analysis for real cases, the aforesaid topics will be examined with the specific goal of verifying the relationship of human walk paths at a crime scene with blood patterns on the floor. In order to perform such analyses, the availability of pictures taken by first aiders is mandatory, since they provide information about the crime scene before items are moved or interfered with. Generally, those pictures are affected by large geometric distortions, thus - after a brief description of the geomatic techniques suitable for the acquisition of reference data (total station surveying, photogrammetry and laser scanning) - it will be shown the developed methodology, based on photogrammetric algorithms, aimed at calibrating, georeferencing and mosaicking the available images acquired on the scene. The crime scene analysis is based on a collection of GIS functionalities for simulating human walk movements and creating a statistically significant sample. The developed GIS software component will be described in detail, showing how the analysis of this statistical sample of simulated human walks allows to rigorously define the probability of performing a certain walk path without touching the bloodstains on the floor. |
format | Online Article Text |
id | pubmed-3707450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-37074502013-07-10 Crime Scene Reconstruction Using a Fully Geomatic Approach Agosto, Eros Ajmar, Andrea Boccardo, Piero Tonolo, Fabio Giulio Lingua, Andrea Sensors (Basel) Article This paper is focused on two main topics: crime scene reconstruction, based on a geomatic approach, and crime scene analysis, through GIS based procedures. According to the experience of the authors in performing forensic analysis for real cases, the aforesaid topics will be examined with the specific goal of verifying the relationship of human walk paths at a crime scene with blood patterns on the floor. In order to perform such analyses, the availability of pictures taken by first aiders is mandatory, since they provide information about the crime scene before items are moved or interfered with. Generally, those pictures are affected by large geometric distortions, thus - after a brief description of the geomatic techniques suitable for the acquisition of reference data (total station surveying, photogrammetry and laser scanning) - it will be shown the developed methodology, based on photogrammetric algorithms, aimed at calibrating, georeferencing and mosaicking the available images acquired on the scene. The crime scene analysis is based on a collection of GIS functionalities for simulating human walk movements and creating a statistically significant sample. The developed GIS software component will be described in detail, showing how the analysis of this statistical sample of simulated human walks allows to rigorously define the probability of performing a certain walk path without touching the bloodstains on the floor. Molecular Diversity Preservation International (MDPI) 2008-10-08 /pmc/articles/PMC3707450/ /pubmed/27873870 http://dx.doi.org/10.3390/s8106280 Text en © 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Agosto, Eros Ajmar, Andrea Boccardo, Piero Tonolo, Fabio Giulio Lingua, Andrea Crime Scene Reconstruction Using a Fully Geomatic Approach |
title | Crime Scene Reconstruction Using a Fully Geomatic Approach |
title_full | Crime Scene Reconstruction Using a Fully Geomatic Approach |
title_fullStr | Crime Scene Reconstruction Using a Fully Geomatic Approach |
title_full_unstemmed | Crime Scene Reconstruction Using a Fully Geomatic Approach |
title_short | Crime Scene Reconstruction Using a Fully Geomatic Approach |
title_sort | crime scene reconstruction using a fully geomatic approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3707450/ https://www.ncbi.nlm.nih.gov/pubmed/27873870 http://dx.doi.org/10.3390/s8106280 |
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