Open University

Tampere

3D and Virtual Reality, Lectures

<p>Contact information<br>Email: <span class="spamspan"><span class="u">open.studies.tau</span> [at] <span class="d">tuni.fi</span></span><br>Phone: 0294 520 200</p><p>More information concerning Open University studies<br><a href="https://www.tuni.fi/open-university">tuni.fi/open-university</a></p>

Advanced studies

Faculty of Information Technology and Communication Sciences

Technology and Natural Sciences

<p>Apply for Open University studies by using the following links:</p><p></p><ul><li><a href="https://tau-avoin.ilmoittaudu.fi/lobby/?realization=J-otm-67ab54df-a615-4ecc-b0af-5d3695ea7b4f_2023-tampere-COMPSGN320" target="_blank">COMP.SGN.320 3D and Virtual Reality, lectures, Tampere</a></li></ul><p>You can find a link to the Open University Admissions service and application instructions on the <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a> page.</p><p>Some of the studies require prior studies. For example, studying intermediate studies may require some completed basic studies. These are described on the Information about studies tab of the study unit under prior requirements.</p><p>When you have been admitted to the studies, you must enrol separately via the Sisu information system for the implementation of the unit of study and, for example if set, for a practise group of your choice. You will receive instructions on how to do this by e-mail after you have confirmed your acceptance of the study place by paying the required fee.</p>

English

Hervanta Campus

Contact teaching

<p>Look information at <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a>.</p>

<h5>Core content</h5><ul><li>Geometric data types. Linear and affine transformations. </li><li> Cameras and rasterization. Depth. Verteces and pixels. Color. Raytracing. </li><li> Binocular vision; perception of depth. 3D visual cues. </li><li>3D scene capture: multi-camera, multi-sensor approaches.</li><li>3D scene representation formats: multi-view &amp;#43; multi-depth; layered depth; epipolar image; point-clouds and meshes. Copression of 3D imagery. </li><li>Immersive displays: 3D, light field VR and AR displays. </li><li>3D tracking sensors: mechanical, optical, magnetic, audio. Motion capture. </li></ul><h5>Complementary knowledge</h5><ul><li>Transform matrices. Rotations and translations. Frames. </li><li>Materials and texture mapping.Geometrical models. </li><li>Vergence and accommodation conflict. Focus cues. </li><li>Calibration and rectification of multi-camera setting with different topologies. Depth estimation. </li><li>Format conversion methods. Multi-modal 3D scene compression. </li><li>Display-specific artifacts</li><li>Augmented reality</li></ul><h5>Specialist knowledge</h5><ul><li>Interpolation. </li><li>Sampling and reconstruction. Animation. </li><li>Visual processing paths</li><li>Capture-specific 3D visual artifacts</li><li>Representation-specific and compression-specific 3D visual artifacts. </li><li>Quality measurements for 3D displays. </li><li>Virtual reality</li></ul>

<h2>Common</h2><h3>Lecture: </h3><p>26.10.2023 09:00 - 12:00, TAU Sähkötalo SA205 S3 auditorio (90)<br>09.11.2023 09:00 - 12:00, TAU Sähkötalo SA205 S3 auditorio (90)<br>16.11.2023 09:00 - 12:00, TAU Sähkötalo SA205 S3 auditorio (90)<br>23.11.2023 09:00 - 12:00, TAU Sähkötalo SA205 S3 auditorio (90)<br>30.11.2023 09:00 - 12:00, TAU Sähkötalo SA205 S3 auditorio (90)<br>07.12.2023 09:00 - 12:00, TAU Sähkötalo SA205 S3 auditorio (90)<br></p>

The course targets new and emerging technologies for 3D visual scene modelling, capture, processing and visualization as well as their use in applications such as 3D video and virtual reality. The course will provide in-depth knowledge about the creation, processing, delivery and visualization of 3D moving scenes. After the course, the students will know the basics of 3D computer graphics and binocular vision, and how those basics are taken into account while capturing and processing 3D video. The students will be able to design application-specific multi-camera and multi-sensor capture systems and 3D graphics visualization tools. They will know the principles and the state-of-the-art techniques for compression and transmission of multi-modal signals used for conveying 3D visual information. The students will know the state-of-the-art and emerging visualization techniques, such as auto-stereoscopic, light-field, holographic, head-mounted and haptic-augmented displays. The students will have knowledge about typical visual artifacts appearing during the stage of 3D content creation, compression and transmission and about the advanced signal processing methods which can tackle those artifacts. 3D tracking sensors: mechanical, optical, magnetic, audio, etc. will be overviewed and basics of augmented and virtual reality will be presented.

<h2>Prerequisites</h2>Either SGN-12000, SGN-12001, SGN-12006 or SGN-12007 is a prerequisite.<br><h5>Prerequisite</h5><ul><li>Code: SGN-12007</li><li>Name: Introduction to Image and Video Processing</li><li>ECTS credits: 5</li><li>Mandatory: Advisable</li></ul>

3D and Virtual Reality, Lectures

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3D and Virtual Reality, 5 cr

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3D and Virtual Reality, Lectures