Record link: 
http://hdl.handle.net/20.500.12708/54259
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Title: 
Detection and Classification of Petroglyphs in Gigapixel Images
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Citation: 
Seidl, M., & Breiteneder, C. (2011). Detection and Classification of Petroglyphs in Gigapixel Images. In F. Niccolucci, M. Dellepiane, S. Pena Serna, H. Rushmeier, & L. Van Gool (Eds.), VAST 11 (pp. 45–48). Eurographics Association. https://doi.org/10.2312/PE/VAST/VAST11S/045-048
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Publisher DOI: 
10.2312/PE/VAST/VAST11S/045-048
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Seidl, Markus 
Breiteneder, Christian 
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Organisational Unit: 
E193-06 - Forschungsbereich Interactive Media Systems 
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Published in: 
VAST 11 
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ISBN: 
978-3-905673-86-9
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Date (published): 
2011
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Event name: 
12th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage (VAST 2011) 
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Event date: 
18-Oct-2011 - 21-Oct-2011
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Event place: 
Prato, Italien, EU
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Number of Pages: 
4
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Publisher: 
Eurographics Association
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Publisher: 
The Eurographics Association
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Abstract: 
With the advances of digital photography, the number of high quality images of rock panels containing petroglyphs grows steadily. Different time-consuming manual methods to determine and document the exact shapes and spatial locations of petroglyphs on a panel have been carried out over decades. We aim at automated methods to a) segment rock images with petroglyphs, b) classify the petroglyphs and c) retrieve similar petroglyphs from different archives. In this short paper, we present an approach for the unsolved problem of rock art image segmentation. A first evaluation demonstrates promising results.
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Science Branch: 
Mathematik, Informatik
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Appears in Collections:
Conference Paper

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