Detection and Classification of Petroglyphs in Gigapixel Images

By Markus Seidl and Christian Breiteneder

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.

Reference

M. Seidl, C. Breiteneder: "Detection and Classification of Petroglyphs in Gigapixel Images"; Talk: 12th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage (VAST 2011), Prato, Italien; 10-18-2011 - 10-21-2011; in: "VAST 11", Eurographics Association, (2011), ISBN: 978-3-905674-34-7; 45 - 48.

BibTeX

@inproceedings{TUW-210435,     author = {Seidl, Markus and Breiteneder, Christian},     title = {Detection and Classification of Petroglyphs in Gigapixel Images},     booktitle = {VAST 11},     year = {2011},     pages = {45--48},     publisher = {Eurographics Association},     isbn = {978-3-905674-34-7},     doi = {10.2312/PE/VAST/VAST11S/045-048},     note = {talk: 12th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage (VAST 2011), Prato, Italien; 2011-10-18 -- 2011-10-21} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.