Augmenting the generalized hough transform to enable the mining of petroglyphs

Authors:
Qiang Zhu;Xiaoyue Wang;Eamonn Keogh;Sang-Hee Lee
Affiliations:
University of California, Riverside, Riverside, CA, USA;University of California, Riverside, Riverside, CA, USA;University of California, Riverside, Riverside, CA, USA;University of California, Riverside, Riverside, CA, USA
Venue:
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Year:
2009

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Abstract

Rock art is an archaeological term for human-made markings on stone. It is believed that there are millions of petroglyphs in North America alone, and the study of this valued cultural resource has implications even beyond anthropology and history. Surprisingly, although image processing, information retrieval and data mining have had large impacts on many human endeavors, they have had essentially zero impact on the study of rock art. In this work we identify the reasons for this, and introduce a novel distance measure and algorithms which allow efficient and effective data mining of large collections of rock art.