Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones

In recent years, new techniques for the morphological study of cut marks have become essential for the interpretation of prehistoric butchering practices. Different criteria have been suggested for the description and classification of cut marks. The methods commonly used for the study of cut marks...

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Autores: Maté-González, Miguel Ángel, Aramendi Picado, Julia, González Aguilera, Diego, Yravedra Sainz de los Terreros, José
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/154410
Acceso en línea:http://hdl.handle.net/10366/154410
Access Level:acceso abierto
Palabra clave:micro-photogrammetry
structured light laser scanner
cut marks
bones
statistical agreement
low-cost
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spelling Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on BonesMaté-González, Miguel ÁngelAramendi Picado, JuliaGonzález Aguilera, DiegoYravedra Sainz de los Terreros, Josémicro-photogrammetrystructured light laser scannercut marksbonesstatistical agreementlow-costIn recent years, new techniques for the morphological study of cut marks have become essential for the interpretation of prehistoric butchering practices. Different criteria have been suggested for the description and classification of cut marks. The methods commonly used for the study of cut marks rely on high-cost microscopy techniques with low portability (i.e., inability to work in situ), such as the 3D digital microscope (3D DM) or laser scanning confocal microscopy (LSCM). Recently, new algorithmic developments in the field of computer vision and photogrammetry, have achieved very high precision and resolution, offering a portable and low-cost alternative to microscopic techniques. However, the photogrammetric techniques present some disadvantages, such as longer data collection and processing time, and the requirement of some photogrammetric expertise for the calibration of the cameras and the acquisition of precise image orientation. In this paper, we compare two low-cost techniques and their application to cut mark studies: the micro-photogrammetry (M-PG) technique presented, developed, and validated previously, and a methodology based on the use of a structured light scanner (SLS). A total of 47 experimental cut marks, produced using a stainless steel knife, were analyzed. The data registered through virtual reconstruction was analyzed by means of three-dimensional geometric morphometrics (GMM).202420242017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/154410reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1544102026-06-07T06:28:51Z
dc.title.none.fl_str_mv Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones
title Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones
spellingShingle Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones
Maté-González, Miguel Ángel
micro-photogrammetry
structured light laser scanner
cut marks
bones
statistical agreement
low-cost
title_short Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones
title_full Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones
title_fullStr Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones
title_full_unstemmed Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones
title_sort Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones
dc.creator.none.fl_str_mv Maté-González, Miguel Ángel
Aramendi Picado, Julia
González Aguilera, Diego
Yravedra Sainz de los Terreros, José
author Maté-González, Miguel Ángel
author_facet Maté-González, Miguel Ángel
Aramendi Picado, Julia
González Aguilera, Diego
Yravedra Sainz de los Terreros, José
author_role author
author2 Aramendi Picado, Julia
González Aguilera, Diego
Yravedra Sainz de los Terreros, José
author2_role author
author
author
dc.subject.none.fl_str_mv micro-photogrammetry
structured light laser scanner
cut marks
bones
statistical agreement
low-cost
topic micro-photogrammetry
structured light laser scanner
cut marks
bones
statistical agreement
low-cost
description In recent years, new techniques for the morphological study of cut marks have become essential for the interpretation of prehistoric butchering practices. Different criteria have been suggested for the description and classification of cut marks. The methods commonly used for the study of cut marks rely on high-cost microscopy techniques with low portability (i.e., inability to work in situ), such as the 3D digital microscope (3D DM) or laser scanning confocal microscopy (LSCM). Recently, new algorithmic developments in the field of computer vision and photogrammetry, have achieved very high precision and resolution, offering a portable and low-cost alternative to microscopic techniques. However, the photogrammetric techniques present some disadvantages, such as longer data collection and processing time, and the requirement of some photogrammetric expertise for the calibration of the cameras and the acquisition of precise image orientation. In this paper, we compare two low-cost techniques and their application to cut mark studies: the micro-photogrammetry (M-PG) technique presented, developed, and validated previously, and a methodology based on the use of a structured light scanner (SLS). A total of 47 experimental cut marks, produced using a stainless steel knife, were analyzed. The data registered through virtual reconstruction was analyzed by means of three-dimensional geometric morphometrics (GMM).
publishDate 2017
dc.date.none.fl_str_mv 2017
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/154410
url http://hdl.handle.net/10366/154410
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410804469596160
score 15.301603

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