
3D and Virtual Reality, Lectures
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5 crCourse dates
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3D and Virtual Reality, 5 cr
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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
Common
Lecture:
25.10.2022 09:00 - 12:00, TAU Sähkötalo SA203 S2 auditorio (90)
08.11.2022 09:00 - 12:00, TAU Sähkötalo SA203 S2 auditorio (90)
15.11.2022 09:00 - 12:00, TAU Sähkötalo SA203 S2 auditorio (90)
22.11.2022 09:00 - 12:00, TAU Sähkötalo SA203 S2 auditorio (90)
29.11.2022 09:00 - 12:00, TAU Sähkötalo SA203 S2 auditorio (90)
Prerequisites
Either SGN-12000, SGN-12001, SGN-12006 or SGN-12007 is a prerequisite.Prerequisite
- Code: SGN-12007
- Name: Introduction to Image and Video Processing
- ECTS credits: 5
- Mandatory: Advisable
General scale, 0-5
Contact information
Email: open.studies.tau [at] tuni.fi
Phone: 0294 520 200
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