Choice of Imaging Technology: The aim is to determine the best strategy in terms of the number and type of cameras used with the objective of generating photo-realistic 4D scene models.
Choice of Representation: Find the optimal trade-off between compactness to meet the bandwidth requirements for a mobile visualization system and the fidelity to photo-realistic representations.
Choice of Models: determine the trade-off between various models such as voxel-based or surface-based models in terms of their performance in rendering and compression.
Compression: Extend 2D video compression techniques to 3D video compression.
Image to image and image to site-model registration based on GPS, inertial navigation systems (INS) and camera calibration.
Investigate methods for jointly optimizing the correlation search for height and texture variations.
Robust image tracking using Kalman filtering and robust statistics.
Dynamic, universal data structures with fast updates for real-time global terrain and 3D feature visualization, with interactive access to accurate views and blending of multiple images.
High resolution 3D data viewing capability, with a continuous level of detail.
Intelligent data mining for visualization and monitoring.
Developing methodologies for evaluating uncertainty in 4D model building and geo-registration.
Formal and systematic study of uncertainty in mobile information systems and data fusion systems.
Suitable and effective presentation of uncertainty for time-critical decision-making applications.
Thorough study and implementation of uncertainty visualization and management in a distributed network in terms of its computation, fusion of information, visual representation and validation.