Acquisition evaluation on outdoor scanning for archaeological artifact digitalization

Frisky, Aufaclav Zatu Kusuma and Fajri, Adieyatna and Brenner, Simon and Sablatnig, Robert (2020) Acquisition evaluation on outdoor scanning for archaeological artifact digitalization. In: VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.

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Abstract

Archaeological archives are important assets because they provide primary information resources for research, mainly digital archives that not degraded. Instead of directly visiting a site, an archaeologist can examine and manipulate the data without harming the real object. However, choosing an efficient scanning scheme with detailed results is a challenging task. In this work, we present new sculpture models obtained in three different ways and assess it in two comparison approaches: A quantitative and qualitative assessment. The quantitative comparison architecture provides a detailed assessment of three different scanning mechanisms in two stages: point cloud and mesh comparison. This evaluation is purposed to describe the differences between unmodified data. Finally, a qualitative evaluation is performed by an expert and practitioner to explain the difference based on four different produced models to help their needs in the real application. © 2020 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 5
Uncontrolled Keywords: Computer graphics; Scanning; Archaeological artifacts; Digital archives; Information resource; Qualitative evaluations; Quantitative and qualitative assessments; Quantitative comparison; Real applications; Scanning mechanisms; Computer vision
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering > Electronics > Computer engineering. Computer hardware
Divisions: Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department
Depositing User: Sri JUNANDI
Date Deposited: 06 Oct 2025 06:37
Last Modified: 06 Oct 2025 06:37
URI: https://ir.lib.ugm.ac.id/id/eprint/22283

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