Abstract | ||
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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 degrees images, which allows for simple and rapid data collection. The opportunity to capture the whole scene around a 360 degrees 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 degrees 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 degrees 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. |
Year | DOI | Venue |
---|---|---|
2020 | 10.3390/ijgi9010034 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION |
Keywords | Field | DocType |
360 degrees images,conservation,damage,spherical imaging,change detection,restoration | Computer vision,Data collection,Virtual machine,Change detection,Immersive visualization,Computer science,Data acquisition,Artificial intelligence,Workflow | Journal |
Volume | Issue | Citations |
9 | 1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luigi Barazzetti | 1 | 39 | 11.39 |
Mattia Previtali | 2 | 26 | 6.07 |
Marco Scaioni | 3 | 97 | 16.34 |