Architecture of solution for panoramic image blurring in GIS project application

<p>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 map creation, etc. This paper underlines the im...

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Autores principales:	D. Vasić, M. Davidović, I. Radosavljević, Đ. Obradović
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/e00a8c66cec54003bb2d87fe7347797b
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spelling	oai:doaj.org-article:e00a8c66cec54003bb2d87fe7347797b2021-11-23T06:33:17ZArchitecture of solution for panoramic image blurring in GIS project application10.5194/gi-10-287-20212193-08562193-0864https://doaj.org/article/e00a8c66cec54003bb2d87fe7347797b2021-11-01T00:00:00Zhttps://gi.copernicus.org/articles/10/287/2021/gi-10-287-2021.pdfhttps://doaj.org/toc/2193-0856https://doaj.org/toc/2193-0864<p>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 map 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 law. The General Data Protection Regulation (GDPR) is a legal framework that sets guidelines for the collection and processing of personal information from individuals who live in the European Union (EU). 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 architecture is designed as a pipeline of object detection algorithms that progressively narrows the search space until it detects the objects to be blurred. The methodology was tested on four data sets counting 5000, 10 000, 15 000 and 20 000 panoramic images. The percentage of accuracy, i.e., successfully detected and blurred objects of interest, was higher than 97 % for each data set. Additionally, our aim was to achieve efficiency and broad use.</p>D. VasićM. DavidovićI. RadosavljevićĐ. ObradovićCopernicus PublicationsarticleGeophysics. Cosmic physicsQC801-809ENGeoscientific Instrumentation, Methods and Data Systems, Vol 10, Pp 287-296 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geophysics. Cosmic physics QC801-809
spellingShingle	Geophysics. Cosmic physics QC801-809 D. Vasić M. Davidović I. Radosavljević Đ. Obradović Architecture of solution for panoramic image blurring in GIS project application
description	<p>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 map 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 law. The General Data Protection Regulation (GDPR) is a legal framework that sets guidelines for the collection and processing of personal information from individuals who live in the European Union (EU). 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 architecture is designed as a pipeline of object detection algorithms that progressively narrows the search space until it detects the objects to be blurred. The methodology was tested on four data sets counting 5000, 10 000, 15 000 and 20 000 panoramic images. The percentage of accuracy, i.e., successfully detected and blurred objects of interest, was higher than 97 % for each data set. Additionally, our aim was to achieve efficiency and broad use.</p>
format	article
author	D. Vasić M. Davidović I. Radosavljević Đ. Obradović
author_facet	D. Vasić M. Davidović I. Radosavljević Đ. Obradović
author_sort	D. Vasić
title	Architecture of solution for panoramic image blurring in GIS project application
title_short	Architecture of solution for panoramic image blurring in GIS project application
title_full	Architecture of solution for panoramic image blurring in GIS project application
title_fullStr	Architecture of solution for panoramic image blurring in GIS project application
title_full_unstemmed	Architecture of solution for panoramic image blurring in GIS project application
title_sort	architecture of solution for panoramic image blurring in gis project application
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/e00a8c66cec54003bb2d87fe7347797b
work_keys_str_mv	AT dvasic architectureofsolutionforpanoramicimageblurringingisprojectapplication AT mdavidovic architectureofsolutionforpanoramicimageblurringingisprojectapplication AT iradosavljevic architectureofsolutionforpanoramicimageblurringingisprojectapplication AT đobradovic architectureofsolutionforpanoramicimageblurringingisprojectapplication
_version_	1718416915615973376

Architecture of solution for panoramic image blurring in GIS project application

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