Procedures for Condition Mapping Using 360° Images
The identification of deterioration mechanisms and their monitoring over time is an essential phase for conservation. This work aimed at developing a novel approach for deterioration mapping and monitoring based on 360° images, which allows for simple and rapid data collection. The opportun...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-01-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/9/1/34 |
| _version_ | 1819010027717918720 |
|---|---|
| author | Luigi Barazzetti Mattia Previtali Marco Scaioni |
| author_facet | Luigi Barazzetti Mattia Previtali Marco Scaioni |
| author_sort | Luigi Barazzetti |
| collection | DOAJ |
| description | The identification of deterioration mechanisms and their monitoring over time is an essential phase for conservation. This work aimed at developing a novel approach for deterioration mapping and monitoring based on 360° images, which allows for simple and rapid data collection. The opportunity to capture the whole scene around a 360° camera reduces the number of images needed in a condition mapping project, resulting in a powerful solution to document small and narrow spaces. The paper will describe the implemented workflow for deterioration mapping based on 360° images, which highlights pathologies on surfaces and quantitatively measures their extension. Such a result will be available as standard outputs as well as an innovative virtual environment for immersive visualization. The case of multi-temporal data acquisition will be considered and discussed as well. Multiple 360° images acquired at different epochs from slightly different points are co-registered to obtain pixel-to-pixel correspondence, providing a solution to quantify and track deterioration effects. |
| first_indexed | 2024-12-21T01:05:44Z |
| format | Article |
| id | doaj.art-acffd89c02ea4ddc8fc07c5bbd23bd32 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-21T01:05:44Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-acffd89c02ea4ddc8fc07c5bbd23bd322022-12-21T19:21:03ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-01-01913410.3390/ijgi9010034ijgi9010034Procedures for Condition Mapping Using 360° ImagesLuigi Barazzetti0Mattia Previtali1Marco Scaioni2Department of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano, Via Ponzio 31, 20133 Milan, ItalyDepartment of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano, Via Ponzio 31, 20133 Milan, ItalyDepartment of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano, Via Ponzio 31, 20133 Milan, ItalyThe identification of deterioration mechanisms and their monitoring over time is an essential phase for conservation. This work aimed at developing a novel approach for deterioration mapping and monitoring based on 360° images, which allows for simple and rapid data collection. The opportunity to capture the whole scene around a 360° camera reduces the number of images needed in a condition mapping project, resulting in a powerful solution to document small and narrow spaces. The paper will describe the implemented workflow for deterioration mapping based on 360° images, which highlights pathologies on surfaces and quantitatively measures their extension. Such a result will be available as standard outputs as well as an innovative virtual environment for immersive visualization. The case of multi-temporal data acquisition will be considered and discussed as well. Multiple 360° images acquired at different epochs from slightly different points are co-registered to obtain pixel-to-pixel correspondence, providing a solution to quantify and track deterioration effects.https://www.mdpi.com/2220-9964/9/1/34360° imagesconservationdamagespherical imagingchange detectionrestoration |
| spellingShingle | Luigi Barazzetti Mattia Previtali Marco Scaioni Procedures for Condition Mapping Using 360° Images ISPRS International Journal of Geo-Information 360° images conservation damage spherical imaging change detection restoration |
| title | Procedures for Condition Mapping Using 360° Images |
| title_full | Procedures for Condition Mapping Using 360° Images |
| title_fullStr | Procedures for Condition Mapping Using 360° Images |
| title_full_unstemmed | Procedures for Condition Mapping Using 360° Images |
| title_short | Procedures for Condition Mapping Using 360° Images |
| title_sort | procedures for condition mapping using 360° images |
| topic | 360° images conservation damage spherical imaging change detection restoration |
| url | https://www.mdpi.com/2220-9964/9/1/34 |
| work_keys_str_mv | AT luigibarazzetti proceduresforconditionmappingusing360images AT mattiaprevitali proceduresforconditionmappingusing360images AT marcoscaioni proceduresforconditionmappingusing360images |