Preprints
https://doi.org/10.5194/gi-2021-23
https://doi.org/10.5194/gi-2021-23

  20 Jul 2021

20 Jul 2021

Review status: this preprint is currently under review for the journal GI.

Architecture of Solution for Panoramic Image Blurring in GIS projects Application

Dejan Vasić1, Marina Davidović1, Ivan Radosavljević2, and Đorđe Obradović2 Dejan Vasić et al.
  • 1Department for civil engineering and geodesy, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, 21000, Vojvodina, Republic of Serbia
  • 2School of Informatics and Computing, Singidunum University, Belgrade, 160622, Republic of Serbia

Abstract. Panoramic images captured using laser scanning technologies, which principally produce point clouds, are readily applicable in colorization of point cloud, detailed visual inspection, road defect detection, spatial entities extraction, diverse maps creation etc. This paper underlines the importance of images in modern surveying technologies and different GIS projects at the same time having regard to their anonymization in accordance with GDPR. Namely, it is a legislative requirement that faces of persons and license plates of vehicles in the collected data are blurred. The objective of this paper is to present a novel architecture of the solution for a particular object blurring. The methodology was tested on four data sets counting 5000, 10 000, 15 000 and 20 000 panoramic images respectively. Percentage of accuracy, i.e. successfully detected and blurred objects of interest, was higher than 97 % for each data set.

Dejan Vasić et al.

Status: open (until 02 Sep 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Dejan Vasić et al.

Dejan Vasić et al.

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Short summary
The objective of this paper is to present new architecture of solution for object detecting and blurring. Our algorithm is tested on four data sets of panorama images. Percentage of accuracy, ie. successfully detected objects of interest is higher than 97 % for each data set. The proposed algorithm has a wide application- for images of different type, surveyed with various purposes and detection of different types of objects, as well.