Photogrammetric model optimization in digitalization of architectural heritage: Yedikule fortress

Title Photogrammetric model optimization in digitalization of architectural heritage: Yedikule fortress
Author Sancak, N., Uzun, F., Turhan, Kartal, Saraoǧlu Yumni, H. K., Özer, D.K.
Publication Date: 2023-06-24
Publication Place - International Society for Photogrammetry and Remote Sensing
Subject Digital Heritage, Mixed Reality, Optimization, Photogrammetry, Serious Gaming, Yedikule Fortress
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1682-1750
Record ID f966547a-1aff-491e-b9c9-54fb60792c4f
Library Location Interior Architecture and Environmental Design
Date 2023-06-24
Notes TÜBİTAK, Istanbul Teknik Üniversitesi
Sample Text The idea of "digitalization of architectural heritage"has recently gained prominence to represent architectural and historical assets. With all these potentials, this study aims to create optimized models that can be used in serious gaming environments by presenting a method of photogrammetry. As a case study, Yedikule Fortress and its surroundings, which have a multi-layered structure that includes many cultural aspects such as Byzantine, Ottoman, and Republican periods in the historical process, have been studied within the scope of digitizing the architectural heritage to create an optimized model for gaming environments. The study was methodologically constructed in three phases: Photogrammetry, polygon modeling, and low poly/high poly baking process. The fortress and its surroundings are modeled using a high-detail point cloud and a high-poly mesh using aerial photogrammetry. The high-poly model was taken as a reference and transferred into a low-poly model as a mesh map, texture, and light characteristics. This allowed the high poly model to operate more efficiently and effectively in game engines. As a result, the study created a detailed and optimized model for the game engines to produce serious games specific to light and texture data, to be used on devices that support mixed reality (MR) technologies.
DOI 10.5194/isprs-archives-XLVIII-M-2-2023-1403-2023
Cilt 48
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Photogrammetric model optimization in digitalization of architectural heritage: Yedikule fortress

Author Sancak, N., Uzun, F., Turhan, Kartal, Saraoǧlu Yumni, H. K., Özer, D.K.
Publication Date 2023-06-24
Publication Place - International Society for Photogrammetry and Remote Sensing
Subject Digital Heritage, Mixed Reality, Optimization, Photogrammetry, Serious Gaming, Yedikule Fortress
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1682-1750
Record ID f966547a-1aff-491e-b9c9-54fb60792c4f
Library Location Interior Architecture and Environmental Design
Date 2023-06-24
Notes TÜBİTAK, Istanbul Teknik Üniversitesi
Sample Text The idea of "digitalization of architectural heritage"has recently gained prominence to represent architectural and historical assets. With all these potentials, this study aims to create optimized models that can be used in serious gaming environments by presenting a method of photogrammetry. As a case study, Yedikule Fortress and its surroundings, which have a multi-layered structure that includes many cultural aspects such as Byzantine, Ottoman, and Republican periods in the historical process, have been studied within the scope of digitizing the architectural heritage to create an optimized model for gaming environments. The study was methodologically constructed in three phases: Photogrammetry, polygon modeling, and low poly/high poly baking process. The fortress and its surroundings are modeled using a high-detail point cloud and a high-poly mesh using aerial photogrammetry. The high-poly model was taken as a reference and transferred into a low-poly model as a mesh map, texture, and light characteristics. This allowed the high poly model to operate more efficiently and effectively in game engines. As a result, the study created a detailed and optimized model for the game engines to produce serious games specific to light and texture data, to be used on devices that support mixed reality (MR) technologies.
DOI 10.5194/isprs-archives-XLVIII-M-2-2023-1403-2023
Cilt 48
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