Prototype

Interactive Demonstration and Technical Post-Mortem

Presentation

Virtual Reality Topics:
• Advances in Virtual Reality Hardware
• HMD Tracking, Motion Tracking and Calibration
• Floor and Interaction Space Tracking and Frame of Reference, Camera Aging and Prediction, Obstacle Detection.
• Neuro Perception: Optical Physiology, Marr’s Hypothesis, Optical Illusions, Interpupillary Distance, Depth Perception, Visual Cues, Achieving a Sense of Presence, Psychophysical effects.
• Stereoscopic Rendering Principles, Frame Buffers, Anti-Aliasing
• Visual Artefacts: Stitching/Tearing/Judder
• Projection and Display Comfort: Parallax, Convergence and Divergence
• Real-time Rendering Architectures for VR: Forward vs Deferred Rendering, Foveated Rendering
• Frame Rates, Latency and Reprojection
• Orthographic vs Billboarded User Interfaces
• Distortion Mapping
• 3D Object Projection and UI Frameworks for VR.
• Post Processing and Non Photo Realistic Rendering via Materials.
• Photogrammetry Techniques.
• Advances in VR Middleware
• Advances in VR Game Engine APIs
• Emerging VR Fields of Study.


Data Visualisation: 
• Background, application, importance and technology.
• Data &amp; Information Representation: Data type, statistical data, time series data, data format etc. 
• Principles of Graphic Design: Colour, alignment, balance, consistency, contrast, proximity, gestalt etc. 
• Type of Visualisation: Data visualisation, information visualisation, concept visualisation, strategy 
• Visualisation Development: Visualisation design, interaction design, data acquisition, data interpretation (parsing) visualisation development – programming, testing and deployment.

Advanced Topics in Virtual Reality - 7152COMP

Advanced Topics in Virtual Reality

Employ advanced skills in Virtual Reality development to effectively visualise data in a Virtual Reality setting.

Make informed and critical decisions in the architecture of the VR Application for a particular domain context.

Critically evaluate the effectiveness of a chosen VR Data Visualisation Technique.

Demonstrate a deep and systemic understanding of interrelationships between VR Research Topics and associated development techniques.

Use a range of technologies, algorithms and associated data structures and choose an appropriate architecture for a Virtual Reality Application.