3D Surveying and Cultural Heritage
Researchers studying 3D surveying of cultural and geological heritage use technologies like photogrammetry, terrestrial laser scanning, and drone-based imaging to capture precise spatial records of sites ranging from ancient monuments to exposed rock formations. By processing overlapping photographs or laser returns into dense point clouds through methods such as Structure from Motion, scientists can reconstruct surfaces in three dimensions without physical contact, enabling detailed documentation and long-term monitoring of fragile or inaccessible environments. The resulting digital models serve both conservation—providing baselines against which erosion, damage, or decay can be measured over time—and geoscientific analysis, where surface geometry reveals information about stratigraphy, fault structure, or site formation. Active questions include how to automate the extraction of meaningful features from increasingly massive point cloud datasets, and how to balance geometric accuracy with the logistical and computational costs of survey campaigns at remote or complex sites.
- Works
- 129,788
- Total citations
- 628,254
- Keywords
- PhotogrammetryUAVTerrestrial Laser ScanningStructure from MotionGeospatial ApplicationsDigital Heritage
Top papers in 3D Surveying and Cultural Heritage
Ordered by total citation count.
- Multiple View Geometry in Computer Vision↗ 20,718
- From dissertation abstracts international↗ 12,247
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation↗ 9,693
- Structure-from-Motion Revisited↗ 5,693
- Vision: A computational investigation into the human representation and processing of visual information↗ 5,562
- 3D is here: Point Cloud Library (PCL)↗ 4,810
- Parallel Tracking and Mapping for Small AR Workspaces↗ 4,237
- ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications↗ 3,963OA
- ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes↗ 3,944
- KinectFusion: Real-time dense surface mapping and tracking↗ 3,921
- A benchmark for the evaluation of RGB-D SLAM systems↗ 3,906
- Fast Point Feature Histograms (FPFH) for 3D registration↗ 3,806
Active researchers
Top authors in this area, ranked by h-index.