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    Handbook on Craniofacial Superimposition

    The MEPROCS Project

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    Download Url(s)
    https://library.oapen.org/bitstream/20.500.12657/23051/1/1007107.pdf
    Author(s)
    Damas, Sergio
    Cordón, Oscar
    Ibáñez, Oscar
    Language
    English
    Show full item record
    Abstract
    This open access handbook presents a trustable craniofacial superimposition methodological framework. It includes detailed technical and practical overviews, and discussions about the latest tools and open problems, covering the educational, technical, ethical, and security aspects of this forensic identification technique. The book will be of particular interest to researchers and practitioners in forensic anthropology and forensic ID, and also researchers in computational intelligence. It is the final result of a European project, New Methodologies and Protocols of Forensic Identification by Craniofacial Superimposition (MEPROCS). The project collaborators who contributed to this handbook are: S. Damas, O. Ibáñez, M.I. Huete, T. Kahana, C. Wilkinson, E. Ferguson, C. Erolin, C. Cattaneo, P.T. Jayaprakash, R. Jankauskas, F. Cavalli, K. Imaizumi, R. Vicente, D. Navega, E. Cunha, A.H. Ross, E. Veselovskaya, A. Abramov, P. Lestón, F. Molinero, E. Ruiz, F. Navarro, J. Cardoso, F. Viegas, D. Humpire, R. Hardiman, J. Clement, A. Valsecchi, B.R. Campomanes-Alvarez, C. Campomanes-Alvarez, A.S. Çağdır, T. Briers, M. Steyn, M. Viniero, D.N. Vieira, and O. Cordón. ; Authors among leading researchers and practitioners worldwide Reports successful collaborative project results First comprehensive guide on this important technique Open Access
    URI
    https://directory.doabooks.org/handle/20.500.12854/27847
    Keywords
    Computer science; Artificial intelligence; Forensic medicine; Computational intelligence; Forensic science; Health informatics
    DOI
    10.1007/978-3-319-11137-7
    Publisher
    Springer Nature
    Publisher website
    http://www.springernature.com/oabooks
    Publication date and place
    Cham, 2020
    Classification
    Forensic science
    Forensic medicine
    Health & safety aspects of IT
    Artificial intelligence
    Pages
    205
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    Credits


    • logo ScossScoss
    • logo Investir l'avenirInvestir l'avenir
    • logo MESRIMESRI
    • logo EUEuropean Union
      This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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