Computer vision and machine learning for archaeology

L.J.P. van der Maaten, P. Boon, G. Lange, J.J. Paijmans, E. Postma

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    Until now, computer vision and machine learning techniques barely contributed to the archaeological domain. The use of these techniques can support archaeologists in their assessment and classification of archaeological finds. The paper illustrates the use of computer vision techniques for archaeology with two examples: (1) a content-based image retrieval system for historical glass and (2) an automatic system for medieval coin classification. The content-based image retrieval system automatically finds artifact drawings in a reference collection that are most similar to a photograph or drawing of an excavated historical glass. The similarity measurements are based on the outer shape contours of the artifacts. The system can speed up the process of classifying historical glass, and make it more objective and controllable. The coin classification system will be trained on a collection of Dutch early-medieval coins. For this system, we present preliminary results on modern coin data.
    Original languageEnglish
    Title of host publicationProceedings of CAA-2006
    Place of PublicationFargo, ND, USA
    PublisherUnknown Publisher
    Pagesonline
    Publication statusPublished - 2006

    Fingerprint

    Computer vision
    Learning systems
    Image retrieval
    Glass

    Cite this

    van der Maaten, L. J. P., Boon, P., Lange, G., Paijmans, J. J., & Postma, E. (2006). Computer vision and machine learning for archaeology. In Proceedings of CAA-2006 (pp. online). Fargo, ND, USA: Unknown Publisher.
    van der Maaten, L.J.P. ; Boon, P. ; Lange, G. ; Paijmans, J.J. ; Postma, E. / Computer vision and machine learning for archaeology. Proceedings of CAA-2006. Fargo, ND, USA : Unknown Publisher, 2006. pp. online
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    van der Maaten, LJP, Boon, P, Lange, G, Paijmans, JJ & Postma, E 2006, Computer vision and machine learning for archaeology. in Proceedings of CAA-2006. Unknown Publisher, Fargo, ND, USA, pp. online.

    Computer vision and machine learning for archaeology. / van der Maaten, L.J.P.; Boon, P.; Lange, G.; Paijmans, J.J.; Postma, E.

    Proceedings of CAA-2006. Fargo, ND, USA : Unknown Publisher, 2006. p. online.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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    van der Maaten LJP, Boon P, Lange G, Paijmans JJ, Postma E. Computer vision and machine learning for archaeology. In Proceedings of CAA-2006. Fargo, ND, USA: Unknown Publisher. 2006. p. online