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Asian Conference on Computer Vision

ACCV 2014: Computer Vision - ACCV 2014 Workshops pp 567–582Cite as

Categorization of Aztec Potsherds Using 3D Local Descriptors

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9009))

Abstract

We introduce the Tepalcatl project, an ongoing bi-disciplinary effort conducted by archaeologists and computer vision researchers, which focuses on developing statistical methods for the automatic categorization of potsherds; more precisely, potsherds from ancient Mexico including the Teotihuacan and Aztec civilizations. We captured 3D models of several potsherds, and annotated them using seven taxonomic criteria appropriate for categorization. Our first task consisted in exploiting the descriptive power of two state-of-the-art 3D descriptors. Then, we evaluated their retrieval and classification performance. Finally, we investigated the effects of dimensionality reduction for categorization of our data. Our results are promising and demonstrate the potential of computer vision techniques for archaeological classification of potsherds.

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Acknowledgement

This work was funded by the Swiss NSF through the project Tepalcatl-P2ELP2-152166, and supported by the project Urban Archaeology of the National Anthropology and History Institute of Mexico (INAH).

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Authors and Affiliations

  1. CVMLab, University of Geneva, Geneva, Switzerland

    Edgar Roman-Rangel

  2. National Anthropology and History Institute of Mexico (INAH), Mexico City, Mexico

    Diego Jimenez-Badillo & Estibaliz Aguayo-Ortiz

Authors
  1. Edgar Roman-Rangel
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  2. Diego Jimenez-Badillo
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  3. Estibaliz Aguayo-Ortiz
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Corresponding author

Correspondence to Edgar Roman-Rangel .

Editor information

Editors and Affiliations

  1. Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India

    C.V. Jawahar

  2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

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Roman-Rangel, E., Jimenez-Badillo, D., Aguayo-Ortiz, E. (2015). Categorization of Aztec Potsherds Using 3D Local Descriptors. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9009. Springer, Cham. https://doi.org/10.1007/978-3-319-16631-5_42

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  • DOI: https://doi.org/10.1007/978-3-319-16631-5_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16630-8

  • Online ISBN: 978-3-319-16631-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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