D. Vasić, Marina Davidović, Ivan Radosavljević, Đorđe Obradović
{"title":"Architecture of solution for panoramic image blurring in GIS project application","authors":"D. Vasić, Marina Davidović, Ivan Radosavljević, Đorđe Obradović","doi":"10.5194/gi-10-287-2021","DOIUrl":null,"url":null,"abstract":"Abstract. Panoramic images captured using laser scanning technologies, which principally produce point clouds, are readily applicable in colorization of point\ncloud, detailed visual inspection, road defect detection, spatial entities extraction, diverse map creation, etc. This paper underlines the\nimportance of images in modern surveying technologies and different GIS projects at the same time having regard to their anonymization in accordance\nwith law. The General Data Protection Regulation (GDPR) is a legal framework that sets guidelines for the collection and processing of personal\ninformation from individuals who live in the European Union (EU). Namely, it is a legislative requirement that faces of persons and license plates\nof vehicles in the collected data are blurred. The objective of this paper is to present a novel architecture of the solution for a particular\nobject blurring. The architecture is designed as a pipeline of object detection algorithms that progressively narrows the search space until it\ndetects 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\nset. Additionally, our aim was to achieve efficiency and broad use.\n","PeriodicalId":48742,"journal":{"name":"Geoscientific Instrumentation Methods and Data Systems","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscientific Instrumentation Methods and Data Systems","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/gi-10-287-2021","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
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 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.
期刊介绍:
Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following:
concepts, design, and description of instrumentation and data systems;
retrieval techniques of scientific products from measurements;
calibration and data quality assessment;
uncertainty in measurements;
newly developed and planned research platforms and community instrumentation capabilities;
major national and international field campaigns and observational research programs;
new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters;
networking of instruments for enhancing high temporal and spatial resolution of observations.
GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following:
foster scientific discussion;
maximize the effectiveness and transparency of scientific quality assurance;
enable rapid publication;
make scientific publications freely accessible.