Volume XLII-4/W16
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 221–228, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-221-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 221–228, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-221-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  01 Oct 2019

01 Oct 2019

DEVELOPMENT OF 3D CITY MODEL USING VIDEOGRAMMETRY TECHNIQUE

A. Hairuddin1, S. Azri1, U. Ujang1, M. G. Cuétara2, G. M. Retortillo2, and S. Mohd Salleh1 A. Hairuddin et al.
  • 1Dept. of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknology Malaysia (UTM), Johor, Malaysia
  • 2Planta 5ª Oficina 16, Calle Luis Álvarez Lencero, 3, 06011 Badajoz, Spain

Keywords: videogrammetry, 3D city model, point cloud, 3D building

Abstract. 3D city model is a representation of urban area in digital format that contains building and other information. The current approaches are using photogrammetry and laser scanning to develop 3D city model. However, these techniques are time consuming and quite costly. Besides that, laser scanning and photogrammetry need professional skills and expertise to handle hardware and tools. In this study, videogrammetry is proposed as a technique to develop 3D city model. This technique uses video frame sequences to generate point cloud. Videos are processed using EyesCloud3D by eCapture. EyesCloud3D allows user to upload raw data of video format to generate point clouds. There are five main phases in this study to generate 3D city model which are calibration, video recording, point cloud extraction, 3D modeling and 3D city model representation. In this study, 3D city model with Level of Detail 2 is produced. Simple query is performed from the database to retrieve the attributes of the 3D city model.