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Carved in Stone

Field Trials of Virtual Reflectance Transformation Imaging (V-RTI) in Classical Telmessos (Fethiye)

Bibliographic Data

ID11074019
AuthorsAlan M Greaves (0000-0002-8004-4702, University of Liverpool, corresponding author), Sarah Duffy (0000-0003-0295-8135, University of Liverpool), J R Peterson (0000-0002-5672-2630, University of Liverpool), Ş Recai Tekoğlu (0000-0002-7702-2625, Dokuz Eylül University), Alfred Hirt (0000-0003-3025-8515, University of Liverpool)
Year2020
Volume45
Issue7
Pages542-555
Publication date2020-10-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Field Archaeology (JOURNAL)
Journal identifiersISSN: 0093-4690 • E-ISSN: 2042-4582
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00934690.2020.1804135
OpenAlexW3045525748
LanguageEN
Citations received2
References cited41

Virtual Reflectance Transformation Imaging (V-RTI) is a hybrid method that combines 3D, Virtual Reality (VR) and 2D+ technologies into a rapid, lightweight, and user-friendly method of recording archaeological monuments in the field. The resultant image file can be interactively lit from various positions to highlight surface texture and detail not generally visible to the naked eye. In this article, we describe the V-RTI method and critically compare it to the current standard Highlight (H-RTI) method. We present results of a field trial of V-RTI in a challenging urban environment that yielded a new inscription, new readings, and epigraphic palimpsests that significantly change our understanding of the ancient Lycian city of Telmessos. We conclude that V-RTI is a valuable new tool for recording at-risk heritage worldwide and should be considered a default recording tool for field survey and conservation for many different classes of field monument

Archaeology · Computer graphics (images · Field (mathematics · Geography · Image (mathematics · Optics · Physics · Reflectivity · Remote sensing · Texture (cosmology · Transformation (genetics · Virtual reality · 3D Surveying and Cultural Heritage · Archaeological Research and Protection · Artificial Intelligence · Computer Science · Conservation Techniques and Studies · Geology · Mathematics

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Unique citing works2
Citations per year0,67
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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