Automatic pattern recognition on archaeological ceramic by 2D and 3D image analysis : A feasibility study

被引：0

作者：

Teddy, Debroutelle ^{[1
]}

Romain, Janvier ^{[1
]}

Aladine, Chetouani ^{[1
]}

Sylvie, Treuillet ^{[1
]}

Matthieu, Exbrayat ^{[2
]}

Lionel, Martin ^{[2
]}

Sebastien, Jesset ^{[3
]}

机构：

[1] Univ Orleans, Lab PRISME, 12 Rue Blois, F-45067 Orleans 2, France

[2] Univ Orleans, LIFO, F-45067 Orleans 2, France

[3] Serv Archeol Municipal Orleans, F-45000 Orleans, France

来源：

5TH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, THEORY, TOOLS AND APPLICATIONS 2015 | 2015年

关键词：

Archaeological ceramic heritage; carved wood wheel decoration; 3D; pattern recognition; classification;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The ARCADIA project aims at developing automatic image analysis and machine learning methods to facilitate the interpretation and promotion of an archaeological ceramic heritage. It consists in implementing a 3D digitalization chain of the discovered shards to extract the decoration imprinted by the potters using a carved wood wheel. The characterization of the hollow pattern from a binary map given by the 3D image then allows the automatic classification of these patterns. We propose here a feasibility study by comparing the results of automatic classification from the manual inkings made by archaeologists and those from 3D digitalizations of the same corpus of shards.

引用

页码：224 / 228

页数：5

共 26 条

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