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Remote Sens. 2017, 9(9), 873; doi:10.3390/rs9090873

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

1
Department of Cartography and Terrain Engineering, Polytechnic School of Avila, University of Salamanca, Hornos Caleros 50, 05003 Avila, Spain
2
C.A.I. Arqueometry and Archaeological Analysis, Complutense University, Profesor Aranguren S/N, 28040 Madrid, Spain
3
Department of Prehistory, Complutense University, Profesor Aranguren S/N, 28040 Madrid, Spain
4
IDEA (Institute of Evolution in Africa), Origins Museum, Plaza de San Andrés 2, 28005 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Diofantos Hadjimitsis, Athos Agapiou, Vasiliki Lysandrou, Nicola Masini and Prasad S. Thenkabail
Received: 22 June 2017 / Revised: 3 August 2017 / Accepted: 18 August 2017 / Published: 23 August 2017
(This article belongs to the Special Issue Advances in Remote Sensing for Archaeological Heritage)
View Full-Text   |   Download PDF [5301 KB, uploaded 23 August 2017]   |  

Abstract

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). View Full-Text
Keywords: micro-photogrammetry; structured light laser scanner; cut marks; bones; statistical agreement; low-cost micro-photogrammetry; structured light laser scanner; cut marks; bones; statistical agreement; low-cost
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Maté-González, M.Á.; Aramendi, J.; González-Aguilera, D.; Yravedra, J. Statistical Comparison between Low-Cost Methods for 3D Characterization of Cut-Marks on Bones. Remote Sens. 2017, 9, 873.

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