Course Catalog 2014-2015
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Course Catalog 2014-2015

SGN-34006 3D and Virtual Reality, 5 cr

Additional information

Suitable for postgraduate studies

Person responsible

Atanas Gotchev

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
Assignment
Laboratory work



 
 3 h/week
 18 h/per
 2 h/week



 



 



 
SGN-34006 2014-01 Monday 9 - 12 , TB222

Requirements

Passing three lab exercises and one project assignment.

Learning Outcomes

The course targets new and emerging technologies for 3D visual scene 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 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. They will know the principles and the state-of-the-art techniques for compression and transmission of multi-modal signals used for conveying 3D 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.

Content

Content Core content Complementary knowledge Specialist knowledge
1. 1. Binocular vision; perception of depth  Vergence and accommodation  Visual processing paths 
2. 2. 3D scene capture: multi-camera, multi-sensor approaches.  Calibration and rectification of multi-camera setting with different topologies. Depth estimation.   Capture-specific 3D visual artifacts 
3. 3. 3D scene representation formats: multi-view + multi-depth; layered depth; epipolar image; point-clouds; dynamic meshes  Format conversion methods  Representation-specific 3D visual artifacts  
4. 4. Copression of 3D imagery. MVMD compression. Point-cloud and mesh compression. Emerging standards.   Light-field compression. Multi-modal 3D scene compression.   Compression-specific 3D visual artifacts  
5. 5. 3D and VR displays.   Display-specific artifacts  Quality measurements for 3D displays.  

Instructions for students on how to achieve the learning outcomes

Three lab works and one project assignment should be completed. Course grade is computed as follows: firt lab work - 20%; second lab work - 20%; third lab work - 20%; completed project - 40%. Total grade=0.2L1+0.2L2+0.2L3+0.4P. All four units must be passed otherwise final grade is not given. There is no exam.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Prerequisites

Course Mandatory/Advisable Description
SGN-12006 Basic Course in Image and Video Processing Mandatory    
SGN-31006 Image and Video Processing Techniques Mandatory    
SGN-33006 Video Compression Advisable    
SGN-51506 Human Visual System Advisable    

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
SGN-34006 3D and Virtual Reality, 5 cr SGN-5456 3D Media Technology, 4 cr  

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-34006 2014-01        

Last modified27.01.2014