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Automatic Recognition and Digital Documentation of Cultural Heritage Hemispherical Domes using Images

Maalek, Reza 1; Maalek, Shahrokh
1 Institut für Technologie und Management im Baubetrieb (TMB), Karlsruher Institut für Technologie (KIT)


Advancements in optical metrology has enabled documentation of dense 3D point clouds of cultural heritage sites. For large scale and continuous digital documentation, processing of dense 3D point clouds becomes computationally cumbersome, and often requires additional hardware for data management, increasing the time cost, and complexity of projects. To this end, this manuscript presents an original approach to generate fast and reliable semantic digital models of heritage hemispherical domes using only two images. New closed formulations were derived to establish the relationships between spheres and their projected ellipses onto images, which fostered the development of a new automatic framework for as-built generation of spheres. The effectiveness of the proposed method was evaluated under both laboratory and real-world datasets. The results revealed that the proposed method achieved as-built modeling accuracy of around 6mm, while improving the computation time by a factor of 7, when compared to established point cloud processing methods.

Volltext §
DOI: 10.5445/IR/1000162225
Veröffentlicht am 14.09.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technologie und Management im Baubetrieb (TMB)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000162225
Umfang 21 S.
Vorab online veröffentlicht am 25.01.2022
Schlagwörter Computing methodologies, Computer graphics, Image manipulation, Image processing, Applied, computing, Physical sciences and engineering, Engineering, Computer-aided design, Sphere detection, digital documentation of spheres, metric scale definition, spherical targets, sphere projection in images, hemispherical domes
Nachgewiesen in arXiv
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