Classification of surface geometry behavior of cultural heritage surfaces based on monitoring change
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[1] Livio De Luca,et al. Analyzing the evolution of deterioration patterns: A first step of an image-based approach for comparing multitemporal data sets , 2015, 2015 Digital Heritage.
[2] D. Girardeau-Montaut,et al. CHANGE DETECTION ON POINTS CLOUD DATA ACQUIRED W ITH A GROUND LASER SCANNER , 2005 .
[3] Robin Letellier,et al. Recording, Documentation and Information Management for the Conservation of Heritage Places , 2015 .
[4] Fabio Remondino,et al. Classification of 3D Digital Heritage , 2019, Remote. Sens..
[5] Luca Di Angelo,et al. Geometric segmentation of 3D scanned surfaces , 2015, Comput. Aided Des..
[6] Eric P. Xing,et al. Kernel methods for large-scale genomic data analysis , 2015, Briefings Bioinform..
[7] D. Lague,et al. Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) , 2013, 1302.1183.
[8] Fabio Bruno,et al. 3D documentation and monitoring of the experimental cleaning operations in the underwater archaeological site of Baia (Italy) , 2013, 2013 Digital Heritage International Congress (DigitalHeritage).
[9] Segmentation of Large Unstructured Point Clouds Using Octree-Based Region Growing And Conditional Random Fields , 2017 .
[10] Markiewicz,et al. Review of Methods for Documentation, Management, and Sustainability of Cultural Heritage. Case Study: Museum of King Jan III’s Palace at Wilanów , 2019, Sustainability.
[11] Pierre Grussenmeyer,et al. AUTOMATIC HERITAGE BUILDING POINT CLOUD SEGMENTATION AND CLASSIFICATION USING GEOMETRICAL RULES , 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[12] Nicola Lercari. Monitoring earthen archaeological heritage using multi-temporal terrestrial laser scanning and surface change detection , 2019, Journal of Cultural Heritage.
[13] D. Abate,et al. Built-Heritage Multi-temporal Monitoring through Photogrammetry and 2D/3D Change Detection Algorithms , 2018, Studies in Conservation.
[14] Xuebo Zhang,et al. Point cloud segmentation based on Euclidean clustering and multi-plane extraction in rugged field , 2021, Measurement Science and Technology.
[15] Shuowen Hu,et al. Octree-based segmentation for terrestrial LiDAR point cloud data in industrial applications , 2016 .
[16] R. Sitnik,et al. Monitoring surface degradation process by 3D structured light scanning , 2019, Optical Metrology.
[17] Yi Cao,et al. A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring , 2019, Processes.