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Methodology of High-resolution Photography for Mural Condition Database : Volume Ii-5/W3, Issue 1 (11/08/2015)

By Higuchi, R.

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Book Id: WPLBN0004014161
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Methodology of High-resolution Photography for Mural Condition Database : Volume Ii-5/W3, Issue 1 (11/08/2015)  
Author: Higuchi, R.
Volume: Vol. II-5/W3, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Taniguchi, Y., Suzuki, T., Shibata, M., & Higuchi, R. (2015). Methodology of High-resolution Photography for Mural Condition Database : Volume Ii-5/W3, Issue 1 (11/08/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: Dept. of Built Environment , Tokyo Institute of Technol ogy , Japan. Digital documentation is one of the most useful techniques to record the condition of cultural heritage. Recently, high-resolution images become increasingly useful because it is possible to show general views of mural paintings and also detailed mural conditions in a single image. As mural paintings are damaged by environmental stresses, it is necessary to record the details of painting condition on high-resolution base maps. Unfortunately, the cost of high-resolution photography and the difficulty of operating its instruments and software have commonly been an impediment for researchers and conservators. However, the recent development of graphic software makes its operation simpler and less expensive. In this paper, we suggest a new approach to make digital heritage inventories without special instruments, based on our recent our research project in Üzümlü church in Cappadocia, Turkey. This method enables us to achieve a high-resolution image database with low costs, short time, and limited human resources.

Summary
Methodology of high-resolution photography for mural condition database

 

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