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INTRODUCING 3D VISION AND COMPUTER GRAPHICS TO ARCHAEOLOGICAL WORKFLOW - An Applicable Framework

Topics: 2D and 3D Scene Understanding; Computational Geometry; Feature Extraction; Implementation of Image and Video Processing Systems; Localization and Recognition of 3D Object Features; Recognizing 3-D Object Shapes from Range Data; Surface Geometry and Shape

Authors: Hubert Mara 1 ; Andreas Monitzer 2 and Julian Stöttinger 3

Affiliations: 1 PIN - Servizi Didattici e Scientifici per l’Università di Firenze, VAST-Labratory, Italy ; 2 Vienna University of Technology, Institute of Computer Graphics and Algorithmsry, Austria ; 3 Vienna University of Technology, Institute for Computer Aided Automation, Pattern Recognition and Image Processing Group, Austria

Keyword(s): 3D Computer Vision, Bi-Directional Reflectance Distribution Function (BRDF), Rotational Axis, Cultural Heritage, Archaeology.

Related Ontology Subjects/Areas/Topics: Computational Geometry ; Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Image Formation and Preprocessing ; Implementation of Image and Video Processing Systems ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; Surface Geometry and Shape

Abstract: Cataloging drawings of ancient vessels and sherds is still the most time consuming task in the typical archaeological workflow. The properties of these findings like profile, volume, and wall thickness have always been estimated and drawn by hand. Through archiving, classifying and exhibiting these ancient artifacts we wish to gather as precise information as possible. Within seconds, today’s 3D-scanners provide surface meshes of ancient vessels which are more precise than any manual estimation which may take up to several hours. We propose a semi-automated, applicable framework for dealing with large 3D-meshes of ancient findings from scanning the vessels for publication. In this interactive environment we estimate the axis of vessels, estimate their profile lines and render real time visualizations using state-of-the-art 3D-hardware techniques. The results can be printed in their real size for direct use in archaeological literature. Further, these methods will give the ability to publish 3D-meshes of ancient vessels for archaeological research. Recent extended tests have been carried out on archaeological sites in Peru and Austria. These experiments showed under real life circumstances the improvement of using this system in both precision and time efficiency. (More)

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Paper citation in several formats:
Mara, H.; Monitzer, A. and Stöttinger, J. (2008). INTRODUCING 3D VISION AND COMPUTER GRAPHICS TO ARCHAEOLOGICAL WORKFLOW - An Applicable Framework. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 305-312. DOI: 10.5220/0001082603050312

@conference{visapp08,
author={Hubert Mara. and Andreas Monitzer. and Julian Stöttinger.},
title={INTRODUCING 3D VISION AND COMPUTER GRAPHICS TO ARCHAEOLOGICAL WORKFLOW - An Applicable Framework},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={305-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001082603050312},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - INTRODUCING 3D VISION AND COMPUTER GRAPHICS TO ARCHAEOLOGICAL WORKFLOW - An Applicable Framework
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Mara, H.
AU - Monitzer, A.
AU - Stöttinger, J.
PY - 2008
SP - 305
EP - 312
DO - 10.5220/0001082603050312
PB - SciTePress