DETECTION OF RESTORATION WORK BY APPLYING THE RANSAC ALGORITHM TO THE POINT CLOUD DATA FROM LASER SCANNING: CASE STUDY AT OSTIA

Y. B. Lim, T. Ogawa, Y. Hori

研究成果: ジャーナルへの寄稿会議記事査読

抄録

In Ostia, the huge range of excavation carried out by Guido Calza under Mussolini (1938-1942), the zone of contiguous city blocks unearthed in those massive campaigns. From 2012, new survey by a Japanese team of standing remains using laser scanners formed the basis for an analysis of building history, and for a reconstruction of the original building. There is a considerable amount of undocumented reconstruction work in the upper part of the structure which has been identified from analysis of the surface of the walls. The seam and the absence of coursing between the original walls and the later restored works sometimes including in the Roman phase, and sometimes modern using original part of the walls, make difficult to identify which part of walls were original and which were restorations or re-use 80 years later from the excavation. In this paper, the case that the seams are invisible, but its existence is known from the photographic record of the progress of the excavations. The detection by applying the RANSAC algorithm to the point cloud data from laser scanning relies on several cases of invisible seams running on the surfaces. Additionally, this method allows us without any special knowledge and experience to find detailed characteristics on the surface of the walls, such as slight unevenness or weathering parts, to extrapolate the building history.

本文言語英語
ページ(範囲)315-321
ページ数7
ジャーナルInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
46
2/W1-2022
DOI
出版ステータス出版済み - 2月 25 2022
イベント9th International Workshop on 3D Virtual Reconstruction and Visualization of Complex Architectures, 3D-ARCH 2022 - Mantua, イタリア
継続期間: 3月 2 20223月 4 2022

!!!All Science Journal Classification (ASJC) codes

  • 情報システム
  • 地理、計画および開発

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