@inproceedings{de488f45f2ff4d128633500c7002552c,
title = "VASESKETCH: Automatic 3D Representation of Pottery from Paper Catalog Drawings",
abstract = "We describe an automated pipeline for digitization of catalog drawings of pottery types. This work is aimed at extracting a structured description of the main geometric features and a 3D representation of each class. The pipeline includes methods for understanding a 2D drawing and using it for constructing a 3D model of the pottery. These will be used to populate a reference database for classification of potsherds. Furthermore, we extend the pipeline with methods for breaking the 3D model to obtain synthetic sherds and methods for capturing images of these sherds in a way that matches the imaging methodology of archaeologists. These will serve to build a massive set of synthetic sherd images that will help train and test future automated classification systems.",
keywords = "3D model virtual fracture, 3D reconstruction, Machine learning, Pottery classification, Vectorization of drawings",
author = "Francesco Banterle and Barak Itkin and Matteo Dellepiane and Lior Wolf and Marco Callieri and Nachum Dershowitz and Roberto Scopigno",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017 ; Conference date: 09-11-2017 Through 15-11-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICDAR.2017.117",
language = "אנגלית",
series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",
publisher = "IEEE Computer Society",
pages = "683--690",
booktitle = "Proceedings - 14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017",
address = "ארצות הברית",
}