Volume XLII-2/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 345-352, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W3-345-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 345-352, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W3-345-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  23 Feb 2017

23 Feb 2017

VISUALIZATION OF THE CONSTRUCTION OF ANCIENT ROMAN BUILDINGS IN OSTIA USING POINT CLOUD DATA

Y. Hori1 and T. Ogawa2 Y. Hori and T. Ogawa
  • 1Dept. of Architecture and Urban Design, Kyushu University, 6-10-1, Hakozaki, Fukuoka 812-8581, Japan
  • 2Faculty of Human-Environment Studies, Kyushu University, 6-10-1, Hakozaki, Fukuoka 812-8581, Japan

Keywords: Laser scanning, Automatic feature-matching algorithm, Plane mapping, Revision, Ostia, Architecture

Abstract. The implementation of laser scanning in the field of archaeology provides us with an entirely new dimension in research and surveying. It allows us to digitally recreate individual objects, or entire cities, using millions of three-dimensional points grouped together in what is referred to as "point clouds". In addition, the visualization of the point cloud data, which can be used in the final report by archaeologists and architects, should usually be produced as a JPG or TIFF file. Not only the visualization of point cloud data, but also re-examination of older data and new survey of the construction of Roman building applying remote-sensing technology for precise and detailed measurements afford new information that may lead to revising drawings of ancient buildings which had been adduced as evidence without any consideration of a degree of accuracy, and finally can provide new research of ancient buildings. We used laser scanners at fields because of its speed, comprehensive coverage, accuracy and flexibility of data manipulation. Therefore, we “skipped” many of post-processing and focused on the images created from the meta-data simply aligned using a tool which extended automatic feature-matching algorithm and a popular renderer that can provide graphic results.