Master Practical Course - Augmented Reality Applications

by Prof. Gudrun Klinker
Supervisors: Frieder Pankratz

Type: Advanced Practical Course in the Field of Pratical Informatics Module IN8902
Type: Master Practical Course Module IN2106
SWS: 6
Programs: Informatics (Master), Informatics (Diploma)
ECTS: 10 Credits

The course will be conducted in English.
Link to last lab course

About the Course:

This course aims at teaching the various aspects that must be considered in order to create an Augmented Reality (AR) application. These aspects concern low-level implementation as well as high level implementation and therefore cover the full bandwidth of challenges in building an AR application. The students will be taught how to use modern Software Development Toolkits and off-the-shelf hardware to program a stand-alone AR application during the semester.

This time the course will focus on the visualization of tracking accuracy, as well as general sensor visualization.

Example for Tracking setup:

Visualization of tracking accuracy:

Visualization of camera frustrum:

Preliminary Meeting (Vorbesprechung):

Date	10.07.2012
Time	14:00
Room	MI 00.13.062

Prerequisites:

• You should have attended the lecture Augmented Reality or 3D User Interfaces or a lecture of adequate content
• This course requires basic knowledge in C++ or C#.
• The concepts of OO Programming and other concepts as conducted in the Introduction to CS lecture are assumed.

Registration

Registration through TUMOnline

Schedule

Date	Time	Room	Topic	Resources
19.10.2012	14:30	MI 00.13.064	Introduction	Introduction slides, Unity3D tutorial
24.10.2012	12:30	MI 00.13.064	Tutorial discussion
31.10.2012	13:00	MI 00.13.064	Trackman Tutorial, introduction to project	Unity3D example, UbiTrack_Tutorial_Trackman.pdf
14.11.2012	11:00		-	Calibration files
21.11.2012	11:00		-	Project Ideas

Additional Information

• Unity3D: http://unity3d.com
• ResearchIssueUbiTrack
• Interactive Visualization of the Predicted Accuracy of Marker-Based Optical Tracking Systems
• Visualization of Pose Error
• Handling Error in Ubiquitous Tracking Setups
• Spatial Relationship Patterns: Elements of Reusable Tracking and Calibration Systems