Course unit, curriculum year 2023–2024
COMP.SGN.320
3D and Virtual Reality, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 2 (23.10.2023–31.12.2023)
Course code
COMP.SGN.320Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Atanas GotchevResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Core content
- 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.
Complementary knowledge
- 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
Specialist knowledge
- 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
Learning outcomes
Prerequisites
Recommended prerequisites
Further information
Equivalences
Studies that include this course
Completion option 1
Participation in teaching
26.10.2023 – 12.12.2023
Active in period 2 (23.10.2023–31.12.2023)