Description
Develop an interactive visualization framework that enables scalable comparison of 3D/4D datasets (e.g., medical imaging volumes, 3D simulations, point clouds, or scientific datasets---all potentially over time), allowing users to efficiently explore similarities, differences, and trends across single or multiple volumes without overwhelming the interface.
Key Challenges
- Visualizing multiple volumetric datasets simultaneously without occlusion.
- Supporting different comparison modes:
- 1-to-1: Comparison of two instances.
- 1-to-Many: Comparing a reference volume against multiple volumes.
- Many-to-Many: Comparisons across a large collection of volumes.
- Maintaining interactivity and perceptual clarity while scaling.
- Efficient data management (GPU/CPU) for large volumetric datasets.
Tasks
- Review the state of the art in comparative visualization
- Design comparative layouts for 3D/4D data
- Potentially, develop interaction techniques
- Implement scalable data handling
- Evaluation (with a possible benchmark against existing 3D comparison approaches).
Requirements
- Visualization & computer graphics
- Experience with volumetric data formats (CT/MRI scans, CFD simulations, etc.)
- Familiarity with GPU acceleration or large data handling
- Creativity :)
References
https://www.sciencedirect.com/science/article/pii/S0097849317300481
Responsible
For more information please contact Renata Raidou.