- Multimodal image matching for alignment, registration, and fusion of multi-source imagery
- Camera calibration, relocalization, and large-scale SfM
- Traditional and learning-based approaches to multi-view stereo
- Neural Radiance Fields for 3D scene reconstruction
- Multi-view stereo and Deep Learning for 3D reconstruction and scene understanding
- Multi-modal point cloud fusion for 3D semantic mapping
- Point cloud quality control and improvement
- Point cloud acquisition by terrestrial / mobile / UAV / aerial LiDAR
- Object detection and 3D reconstruction in complex scenes from single or multi-model data
- Generation and update of high-resolution 3D city models and road databases
- Semantic interpretation of the entire scene from data of various origins
- Handling noisy data, techniques for uncertainty estimation and uncertainty propagation
- Neural Radiance Fields
- Accuracy and uncertainty in vision metrology
- Handling noisy data, techniques for uncertainty estimation and uncertainty propagation
- Applications of vision metrology
