Name
Abstract | ||
|---|---|---|
Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification of ceramics. Classification and reconstruction of archaeological fragments is based on the profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. In order to segment the profile into primitives like rim, wall, and base, rules based on human expert knowledge are created. The input data for the estimation of the profile is a set of points produced by the acquisition system. A function fitting this set is constructed and later on processed to find the characteristic points necessary to classify the original fragment. We demonstrate the method and give results on real archaeological data. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.patrec.2006.08.011 | Pattern Recognition Letters |
Keywords | Field | DocType |
automated system,input data,curvature analysis,archaeological fragment,archaeological pottery classification,archaeological ceramics,typology and classification,archaeological classification,acquisition system,function fitting,human expert knowledge,real archaeological data,characteristic point,original fragment,3d acquisition,rule based system,rule based,cross section | Signal classification,Artificial intelligence,Pottery,Iterative reconstruction,Computer vision,Object detection,Rule-based system,Pattern recognition,Expert system,Curvature analysis,Archaeology,Mathematics,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
28 | 6 | Pattern Recognition Letters |
Citations | PageRank | References |
7 | 0.72 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Kampel | 1 | 12 | 1.85 |
| Robert Sablatnig | 2 | 563 | 65.88 |