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3D modeling to help the understand of Ground Stones wear-traces: Experimental program in Quartzite and Greywacke - AGSTR2017

TraCEr TraCEr

figshare 2018

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  • Título:
    3D modeling to help the understand of Ground Stones wear-traces: Experimental program in Quartzite and Greywacke - AGSTR2017
  • Autor: TraCEr TraCEr
  • Assuntos: Archaeological Science ; FOS: History and archaeology
  • Descrição: Ground Stone Tools (GST) are one of the most interesting technological systems forthe study of the evolution of human adaptive behavior. From the archaeologicalrecord, ground stones have been documented from the Early Pleistocene to Holocenecontexts in different geographic regions. Thus, studying GST systems from atechnological and functional perspective is fundamental in order to reconstruct pasthuman behavior and adaptation since the earliest stone-tool use.This work aims to study GST from a technological, morphometric and functionalanalysis. Functional studies combine the analysis of macro and micro wear traces,and residue evidences. The first step on functional analysis is the identification ofmacro traces, including the analysis distribution pattern (i.e. spatial analysis) andquantification.The preliminary work presented in this poster, focus on the spatial analysis of themacro traces by using a 3D modeling methods, including photogrammetry (AgisoftPhotoScan), high resolution 3D scanning (ATOS GOM), and 3D data image analysis(Cloud Compare, Meshlab, ImageJ and Qgis). In this work, by characterizing themacro wear traces (e.g. spatial analysis and wear quantification), different data allowto built, validate and test statistical models within and between different rawmaterials and activities, showing that quantification is important tool for datacomparison and statistical validation.Rather than presenting final results, the main goal of this preliminary presentation isto discuss the methodological protocol, by identifying, evaluate and test differentmethods and techniques, in order to improve further experiments and dataprocessing
  • Editor: figshare
  • Data de criação/publicação: 2018
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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