Name
Abstract | ||
|---|---|---|
The stone tools and other artefacts produced by pre-European Maori show a remarkable level of craftsmanship, but it is not clear how these tools were produced. Analysis of debitage - the fragments left behind at manufacturing sites - offers insight into this process. While an individual stone flake or fragment offers little information, statistics across the entire collection from a particular site are of great archaeological interest. Currently, each individual fragment is measured by hand - a laborious, time-consuming, and error-prone approach. We show that image-based 3D reconstruction of stone flakes can be used to automate some of the common measurements made by archaeologists. We demonstrate our techniques on a small collection of flakes and obtain similar accuracy to manual measurements. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/IVCNZ.2017.8402463 | 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ) |
Keywords | Field | DocType |
Photogrammetry,Multi-view stereo,Digital heritage | Computer vision,Photogrammetry,Flake,Engineering drawing,Computer science,Artificial intelligence,Debitage,3D reconstruction | Conference |
ISSN | ISBN | Citations |
2151-2191 | 978-1-5386-4277-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamza Bennani | 1 | 2 | 1.72 |
| Steven Mills | 2 | 41 | 17.74 |
| Richard Walter | 3 | 0 | 0.68 |
| Karen Greig | 4 | 0 | 0.34 |