10. Exploring the Ancient Demos of Kymissaleis on Rhodes: Multdisciplinary Experimental Research and Theoretical Issues

Stefanakis, Manolis I.; Kalogeropoulos, Konstantinos; Georgopoulos, Andreas; Bourbou, Chryssi

doi:10.1515/9781934078471-013

Cited by 3 publications

(3 citation statements)

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“…The first approach uses a predefined reference image, which is a duplication of the left image of the image pair, to carry the semantic information (Figure 4). The images used for the first experiment are from the archaeological site of the ancient Kymissala [49][50][51] in Rhodes and were captured during the summer field course in photogrammetry in 2019, which was conducted by the Laboratory of Photogrammetry SRSGE NTUA. The second approach enriches the RGB images with an extra channel (RGBL), which contains the edge semantic information and then feeds them into the "Triangulation" pipeline, from which a semantically enriched point cloud is produced.…”

Section: Oversimplified Experimentsmentioning

confidence: 99%

Point-Cloud Segmentation for 3D Edge Detection and Vectorization

Betsas¹,

Georgopoulos²

2022

Heritage

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The creation of 2D–3D architectural vector drawings constitutes a manual, labor-intensive process. The scientific community has not provided an automated approach for the production of 2D–3D architectural drawings of cultural-heritage objects yet, regardless of the undoubtable need of many scientific fields. This paper presents an automated method which addresses the problem of detecting 3D edges in point clouds by leveraging a set of RGB images and their 2D edge maps. More concretely, once the 2D edge maps have been produced exploiting manual, semi-automated or automated methods, the RGB images are enriched with an extra channel containing the edge semantic information corresponding to each RGB image. The four-channel images are fed into a Structure from Motion–Multi View Stereo (SfM-MVS) software and a semantically enriched dense point cloud is produced. Then, using the semantically enriched dense point cloud, the points belonging to a 3D edge are isolated from all the others based on their label value. The detected 3D edge points are decomposed into set of points belonging to each edge and fed into the 3D vectorization procedure. Finally, the 3D vectors are saved into a “.dxf” file. The previously described steps constitute the 3DPlan software, which is available on GitHub. The efficiency of the proposed software was evaluated on real-world data of cultural-heritage assets.

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Section: Oversimplified Experimentsmentioning

confidence: 99%

Point-Cloud Segmentation for 3D Edge Detection and Vectorization

Betsas¹,

Georgopoulos²

2022

Heritage

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“…The aims of the Kymissala Archaeological Research Project (KARP) are to clarify the topographical limits of the ancient deme of Kymissaleis and to chart its chronological development from the seventh century BC to Late Antiquity. A 2017 volume edited by Manolis Stefanakis (Kymissala: Archaeology -Education -Sustainability) details the accomplishments of the project over the previous decade (Stefanakis 2017; see also Stefanakis et al 2015). An area of approximately 13km 2 has been explored to date, yielding a plethora of archaeological sites and monuments (Figs 169, 170).…”

Section: The Kymissala Archaeological Research Projectmentioning

confidence: 99%

Excavation and documentation of the Rhodian countryside and Dodecanese islands in the first millennium BC

Salmon¹

2019

Arch. Rep.

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This contribution offers an overview of recent fieldwork and museum-based projects focused on the Rhodian countryside and Dodecanese islands. The excavations conducted by the Ephorate of Antiquities of the Dodecanese over the past two decades, paired with the study of Rhodian collections in the Louvre and British Museum, among other museums, have developed and promoted the archaeological record of the region. The Kymissala Archaeological Research Project led by the University of the Aegean and a collaborative doctoral project investigating the British Museum’s collections from Kamiros each demonstrate the potential of revisiting historic excavations through topographical surveys and archival documentation.

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“…14Stefanakis and Patsiada 2011, 81; Stefanakis et al 2015, 273; cf SNG Copenhagen 1942, 779; Calciati 1986, no. 142.…”

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confidence: 99%