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Micro-photogrammetric characterization of cut marks on bones

In the last few years, the study of cut marks on bone surfaces has become fundamental for the interpretation of archaeological sites and prehistoric butchery practices. Due to the difficulties in the correct identification of cut marks, many criteria for their description and classifications were suggested. This article presents an innovative methodology which supplements the microscopic study of cut marks. Despite the benefits of using scanning electron microscopy (SEM) for the two-dimensional identification of these marks, it has a number of drawbacks such as the high costs and, consequently, the limited sample studied. In this article, a low-cost technique for the analysis of cut mark micromorphology from a tri-dimensional perspective is introduced. It provides a high-resolution approach to cut mark characterisation such as morphology, depth, width, and angle estimation as well as section determination, measured directly on the marks on bones. Macro-photogrammetry records quantitative and qualitative information which can be statistically processed with standard multivariate and geometric morphometric tools. http://authors.elsevier.com/a/1RWmp15SlTUSv3

Journal of Archaeological Science 62 (2015) 128e142 Contents lists available at ScienceDirect Journal of Archaeological Science journal homepage: http://www.elsevier.com/locate/jas Micro-photogrammetric characterization of cut marks on bones Miguel Angel Mate Gonzalez a, Jose Yravedra b, *, Diego Gonzalez-Aguilera a, Juan Francisco Palomeque-Gonzalez b, Manuel Domínguez-Rodrigo b, c a Department of Cartography and Terrain Engineering, Polytechnic School of Avila, University of Salamanca, Hornos Caleros 50, 05003 Avila, Spain Department of Prehistory, Complutense University, Prof. Aranguren s/n, 28040 Madrid, Spain c IDEA (Institute of Evolution in Africa), Museo de los Orígenes, Plaza de San Andres 2, 28005 Madrid, Spain b a r t i c l e i n f o a b s t r a c t Article history: Received 1 June 2015 Received in revised form 3 August 2015 Accepted 4 August 2015 Available online 6 August 2015 In the last few years, the study of cut marks on bone surfaces has become fundamental for the interpretation of archaeological sites and prehistoric butchery practices. Due to the difficulties in the correct identification of cut marks, many criteria for their description and classifications were suggested. This article presents an innovative methodology which supplements the microscopic study of cut marks. Despite the benefits of using scanning electron microscopy (SEM) for the two-dimensional identification of these marks, it has a number of drawbacks such as the high costs and, consequently, the limited sample studied. In this article, a low-cost technique for the analysis of cut mark micromorphology from a tri-dimensional perspective is introduced. It provides a high-resolution approach to cut mark characterisation such as morphology, depth, width, and angle estimation as well as section determination, measured directly on the marks on bones. Macro-photogrammetry records quantitative and qualitative information which can be statistically processed with standard multivariate and geometric morphometric tools. © 2015 Elsevier Ltd. All rights reserved. Keywords: Taphonomy Cut marks Macro-photogrammetry Computer vision Image-based modelling 1. Introduction Lartet (1860), Peale (1870), Lartet and Christy (1875) and Martin (1909) were pioneers in the study of cut marks in the late 19th and early 20th centuries. They observed the presence of marks in archaeological assemblages, but did not engage into any finedetailed analysis of them. During the 20th century, several scholars observed, classified and described cut marks, amongst which the seminal studies by White (1952, 1953, 1954, 1955), Binford (1981), Bunn (1982) or Shipman (1981) should be emphasized. In the last few years, the analysis of cut marks has become extremely relevant in the interpretation of the archaeological record, as it has offered evidence to interpret such diverse behaviours as hunting by Olduvai hominins 1.8 Myr ago (Bunn and Kroll, 1986; Domínguez-Rodrigo et al., 2007), or the replacement of lithic butchery tools by metal ones during the Holocene (Greenfield, 1999, 2004). In the past 20 years, cut mark analysis has become more sophisticated. Experimental recreation of cut mark frequencies and * Corresponding author. E-mail addresses: [email protected] (M.A. Mate Gonzalez), joyravedra@ hotmail.com (J. Yravedra), [email protected] (D. Gonzalez-Aguilera). http://dx.doi.org/10.1016/j.jas.2015.08.006 0305-4403/© 2015 Elsevier Ltd. All rights reserved. their anatomical location on ungulate carcasses were considered (Capaldo, 1997; Domínguez-Rodrigo, 1997), as well as replications of different butchery processes such as filleting, dismembering or evisceration (Binford, 1981; Lyman, 1987; Nilsen, 2001; Galan and Domínguez-Rodrigo, 2013). Others studies focused on discriminating cut marks from other processes such as trampling (Shipman, 1981; Shipman and Rose, 1983; Behrensmeyer et al., 1986; Domínguez-Rodrigo et al., 2009), or characterizing the raw material of the cutting tool: flint, obsidian, metal, quartz (Olsen, 1988; Greenfield, 1999, 2004, 2006a, b; Bello and Soligo, 2008; Yravedra et al., 2009), shell (Choi and Driwantoro, 2007), or bamboo (Spennerman, 1990; West and Louys, 2007). Other research addressed cut mark morphology according to stone tool type (i.e. simple or retouched flakes, handaxes) (Walker, 1978; Shipman and Rose, 1983; Bello et al., 2009; Domínguez-Rodrigo et al., 2009; De Juana et al., 2010; Galan and Domínguez-Rodrigo, 2013). In these studies, cut mark morphology analyses were restricted to optic microscopy, hand lenses and SEM (Shipman, 1981; Olsen, 1988; Greenfield, 1999, 2004, 2006a,b; Smith and Brickley, 2004; Lewis, 2008), binocular microscope for high resolution pictures (Domínguez-Rodrigo et al., 2009; De Juana et al., 2010; Marín-Monfort et al., 2014), digital imaging techniques (Gilbert and Richards, 2000), three-dimensional reconstruction