conference paper
Stone-by-Stone Segmentation for Monitoring Large Historical Monuments Using Deep Neural Networks
- Title
- Stone-by-Stone Segmentation for Monitoring Large Historical Monuments Using Deep Neural Networks
- Date
- 2021
- Is Part Of
- Pattern Recognition. ICPR International Workshops and Challenges
- In Series
- Lecture Notes in Computer Science
- Pages
- 235-248
- Language
- eng
- Publisher
- Springer International Publishing
- Place Published
- Cham
- ISBN
- 978-3-030-68787-8
- Abstract
- Monitoring and restoration of cultural heritage buildings require the definition of an accurate health record. A critical step is the labeling of the exhaustive constitutive elements of the building. Stone-by-stone segmentation is a major part. Traditionally it is done by visual inspection and manual drawing on a 2D orthomosaic. This is an increasingly complex, time-consuming and resource-intensive task.
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