3D and Virtual Reality, 5 op

Ydinsisältö

• Geometric data types. Linear and affine transformations.
• Cameras and rasterization. Depth. Verteces and pixels. Color. Raytracing.
• Binocular vision; perception of depth. 3D visual cues.
• 3D scene capture: multi-camera, multi-sensor approaches.
• 3D scene representation formats: multi-view + multi-depth; layered depth; epipolar image; point-clouds and meshes. Copression of 3D imagery.
• Immersive displays: 3D, light field VR and AR displays.
• 3D tracking sensors: mechanical, optical, magnetic, audio. Motion capture.

Täydentävä tietämys

• Transform matrices. Rotations and translations. Frames.
• Materials and texture mapping.Geometrical models.
• Vergence and accommodation conflict. Focus cues.
• Calibration and rectification of multi-camera setting with different topologies. Depth estimation.
• Format conversion methods. Multi-modal 3D scene compression.
• Display-specific artifacts
• Augmented reality

Erityistietämys

• Interpolation.
• Sampling and reconstruction. Animation.
• Visual processing paths
• Capture-specific 3D visual artifacts
• Representation-specific and compression-specific 3D visual artifacts.
• Quality measurements for 3D displays.
• Virtual reality