Identifying Lapita Motifs Based on Pattern Recognition Technology
Date Issued
2015
Date
2015
Author(s)
Cheng, Man-Fong
Abstract
Recently, researchers have shown an increasing interest in archaeological science, which strives for using information technology to assist analysis of historical remains. Previous research in archaeological pottery has concentrated on shape features of pottery shreds. However, there has been little discussion about the patterns on this topic. Patterns contain cultural meaning and uniqueness, which can both improve the efficiency of archaeological metadata analysis and the accuracy of shreds assembly. In this thesis, we have developed a system of unit recognition for pattern from the Lapita pottery, which is based on the standard of Lapita motif coding. There are three steps in the process of our system. First stages comprise image preprocessing and unit segmentation. Then, shape context and histogram of stroke count features are then conducted to extract features from units. Eventually, units were ranked in a recommended sequence for user selection. The evaluation of unit recognition was assessed from the classification of 260-sampled units into 24 categories and the accuracy is 99.6% for the top-1 recommendation. And the average process time for each unit is 47.48 milliseconds. In addition, the effectiveness of reconstructing Lapita fragments was enhanced while adding our unit recognition results to reconstruct color-faded pottery fragments. In conclusion, the first Lapita unit recognition system is developed in this thesis, which facilitates the archaeological process by its high efficiency and effectiveness.
Subjects
Archaeological Science
Archaeological Pattern Recognition
Lapita Unit Classification
Lapita Culture
Archaeological Fragment Reconstruction
Type
thesis
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