Petroglyph Detection and Classification

Development of automated methods of segmenting rock images featuring petroglyphs.
Runtime
04/30/2011 – 04/29/2012
Status
finished
Petroglyph Detection and Classification

Advances in digital photography mean that the number of high quality images of rock panels containing petroglyphs is steadily increasing. A range of time-consuming manual methods of determining and documenting the exact shapes and spatial locations of petroglyphs on panels have been used for decades. We aim to develop automated methods of segmenting rock images featuring petroglyphs.

 

Classification visualisation

Classification visualisations

Publications

Seidl, M., & Breiteneder, C. (2012). Automated petroglyph image segmentation with interactive classifier fusion. In Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing (pp. 66:1–66:8). New York, NY, USA: ACM. https://doi.org/10.1145/2425333.2425399
Seidl, M., & Breiteneder, C. (2011). Detection and Classification of Petroglyphs in Gigapixel Images –Preliminary Results. In The 12th International Symposium on Virtual Reality, Archaeology and Cultural Heritage VAST11 - Short and Project Papers. Prato, Italy: Eurographics Association.