30 November 2016 Four-dimensional reconstruction of cultural heritage sites based on photogrammetry and clustering
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A system designed and developed for the three-dimensional (3-D) reconstruction of cultural heritage (CH) assets is presented. Two basic approaches are presented. The first one, resulting in an “approximate” 3-D model, uses images retrieved in online multimedia collections; it employs a clustering-based technique to perform content-based filtering and eliminate outliers that significantly reduce the performance of 3-D reconstruction frameworks. The second one is based on input image data acquired through terrestrial laser scanning, as well as close range and airborne photogrammetry; it follows a sophisticated multistep strategy, which leads to a “precise” 3-D model. Furthermore, the concept of change history maps is proposed to address the computational limitations involved in four-dimensional (4-D) modeling, i.e., capturing 3-D models of a CH landmark or site at different time instances. The system also comprises a presentation viewer, which manages the display of the multifaceted CH content collected and created. The described methods have been successfully applied and evaluated in challenging real-world scenarios, including the 4-D reconstruction of the historic Market Square of the German city of Calw in the context of the 4-D-CH-World EU project.
© 2016 SPIE and IS&T
Athanasios Voulodimos, Athanasios Voulodimos, Nikolaos Doulamis, Nikolaos Doulamis, Dieter Fritsch, Dieter Fritsch, Konstantinos Makantasis, Konstantinos Makantasis, Anastasios Doulamis, Anastasios Doulamis, Michael Klein, Michael Klein, } "Four-dimensional reconstruction of cultural heritage sites based on photogrammetry and clustering," Journal of Electronic Imaging 26(1), 011013 (30 November 2016). https://doi.org/10.1117/1.JEI.26.1.011013 . Submission:


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