Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/2639
Title: Image-Based Modeling Techniques for The Creation of High-Quality Texture in Laser Scanner Model: A Case Study in Frescoed Vault
Authors: Martinez, Isabel
Zaragoza, Espejo
Caroti, Gabriella
Piemonte, Andrea
Keywords: Image-Based Modeling
Texture Mapping
Structure from Motion
Scanner Laser
Photogrammetry
Publisher: Konya Technical University Faculty of Architecture and Design
Abstract: The new survey tools used in studies aimed to preserving architectural heritage often show some dilemmas. Several studies have been able to confirm that laser scanner surveys allow to obtain three-dimensional models of high accuracy in morphology and topological level. However, nowadays the quality level of colour obtained with laser scanners is not acceptable for high quality texturing. Moreover, high quality colour medels can be obtained through techniques of Structure from Modeling, but feature a lower precision of mesh, even though results obtainable by Computer Vision programs, make this approach increasingly viable. In this context, a case study is proposed on a vault located in the Palazzo Roncioni (Pisa, Italy) decorated with a important fresco painted by the painter Giovan Battista Tempesti in the second half of the eighth century. In this case, different tests will be carried out by Structure from Modeling techniques to have a high resolution texture applied to the model obtained with laser scanner, thus obtaining a model with high resolution texture and high quality mesh. This model allows to generate an accurate documentation of the vault for digital preservation and restoration studies.
Description: 145
iconarch:S2
URI: https://iconarch.ktun.edu.tr/index.php/iconarch/article/view/145/118
https://iconarch.ktun.edu.tr/index.php/iconarch/article/view/145
https://hdl.handle.net/20.500.13091/2639
Appears in Collections:ICONARCH - International Congress of Architecture and Planning

Files in This Item:
File SizeFormat 
document - 2023-03-27T140317.093.pdf845.59 kBAdobe PDFView/Open
Show full item record



CORE Recommender

Page view(s)

66
checked on Apr 22, 2024

Download(s)

16
checked on Apr 22, 2024

Google ScholarTM

Check





Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.