3D Surveying and Cultural Heritage
Researchers working at the intersection of geology and cultural heritage use tools like terrestrial laser scanning, drone-based photogrammetry, and Structure from Motion algorithms to build precise three-dimensional models of rock formations, archaeological sites, and historic structures from overlapping photographs or sensor measurements. The resulting point clouds and digital reconstructions serve both scientific analysis—mapping erosion, fault geometry, or stratigraphic detail—and the long-term preservation of sites that are vulnerable to decay, conflict, or environmental change. Active work is pushing toward faster, more automated pipelines that can handle the scale and complexity of large outdoor environments without sacrificing geometric accuracy. Open questions include how to best integrate data from multiple sensor types into unified models and how to make high-fidelity digital records genuinely accessible and useful to communities beyond the research teams that produce them.
- Works
- 132,133
- Total citations
- 645,698
- 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↗ 20,843
- From dissertation abstracts international↗ 12,248
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation↗ 9,832
- Structure-from-Motion Revisited↗ 5,950
- Vision: A computational investigation into the human representation and processing of visual information↗ 5,567
- 3D is here: Point Cloud Library (PCL)↗ 4,866
- Parallel Tracking and Mapping for Small AR Workspaces↗ 4,259
- ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes↗ 4,057
- ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications↗ 4,056OA
- KinectFusion: Real-time dense surface mapping and tracking↗ 3,962
- A benchmark for the evaluation of RGB-D SLAM systems↗ 3,961
- ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM↗ 3,932OA
Active researchers
Top authors in this area, ranked by h-index.