Special Section on Image Processing for Cultural Heritage

Identifying designs from incomplete, fragmented cultural heritage objects by curve-pattern matching

[+] Author Affiliations
Jun Zhou, Haozhou Yu, Hongkai Yu, Song Wang

University of South Carolina, Department of Computer Science and Engineering, 315 Main Street, Columbia, South Carolina 29208, United States

Karen Smith

University of South Carolina, South Carolina Institute of Archaeology and Anthropology, 1321 Pendleton Street, Columbia, South Carolina 29208, United States

Colin Wilder

University of South Carolina, Center for Digital Humanities, 1322 Greene Street, Columbia, South Carolina 29208, United States

J. Electron. Imaging. 26(1), 011022 (Jan 05, 2017). doi:10.1117/1.JEI.26.1.011022
History: Received June 30, 2016; Accepted December 12, 2016
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Abstract.  The study of cultural heritage objects with embellished realistic and abstract designs made up of connected and intertwined curves crosscuts a number of related disciplines, including archaeology, art history, and heritage management. However, many objects, such as pottery sherds found in the archaeological record, are fragmentary, making the underlying complete designs unknowable at the scale of the sherd fragment. The challenge to reconstruct and study complete designs is stymied because (1) most fragmentary cultural heritage objects contain only a small portion of the underlying full design, (2) in the case of a stamping application, the same design may be applied multiple times with spatial overlap on one object, and (3) curve patterns detected on an object are usually incomplete and noisy. As a result, traditional curve-pattern matching algorithms, such as Chamfer matching, may perform poorly in identifying the underlying design. We develop a new partial-to-global curve matching algorithm to address these challenges and better identify the full design from a fragmented cultural heritage object. Specifically, we develop the algorithm to identify the designs of the carved wooden paddles of the Southeastern Woodlands from unearthed pottery sherds. A set of pottery sherds, curated at Georgia Southern University, are used to test the proposed algorithm, with promising results.

© 2017 SPIE and IS&T

Citation

Jun Zhou ; Haozhou Yu ; Karen Smith ; Colin Wilder ; Hongkai Yu, et al.
"Identifying designs from incomplete, fragmented cultural heritage objects by curve-pattern matching", J. Electron. Imaging. 26(1), 011022 (Jan 05, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.1.011022


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