International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-4/W16
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 471–479, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-471-2019
© 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, 471–479, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-471-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  01 Oct 2019

01 Oct 2019

3D MODEL FOR INDOOR SPACES USING DEPTH SENSOR

N. F. Mukhtar1, S. Azri1, U. Ujang1, M. G. Cuétara2, G. M. Retortillo2, and S. Mohd Salleh1 N. F. Mukhtar 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: indoor spaces, 3D model, 3D visualization, point clouds, depth sensor

Abstract. In recent years, 3D model for indoor spaces have become highly demanded in the development of technology. Many approaches to 3D visualisation and modelling especially for indoor environment was developed such as laser scanner, photogrammetry, computer vision, image and many more. However, most of the technique relies on the experience of the operator to get the best result. Besides that, the equipment is quite expensive and time-consuming in terms of processing. This paper focuses on the data acquisition and visualisation of a 3D model for an indoor space by using a depth sensor. In this study, EyesMap3D Pro by Ecapture is used to collect 3D data of the indoor spaces. The EyesMap3D Pro depth sensor is able to generate 3D point clouds in high speed and high mobility due to the portability and light weight of the device. However, more attention must be paid on data acquisition, data processing, visualizing, and evaluation of the depth sensor data. Hence, this paper will discuss the data processing from extracting features from 3D point clouds to 3D indoor models. Afterwards, the evaluation on the 3D models is made to ensure the suitability in indoor model and indoor mapping application. In this study, the 3D model was exported to 3D GIS-ready format for displaying and storing more information of the indoor spaces.