Warning! The directory is not yet complete and will be amended until the beginning of the term.
052213 VU Image Synthesis (2022S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 14.02.2022 09:00 to Th 24.02.2022 10:00
- Deregistration possible until Mo 14.03.2022 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes
The course will take place in cooperation with the TU Wien. Hence, we will meet at TU Wien, Seminarraum FAV 05, HA0503, Stiege 2, Favoritenstraße 9-11, 1040 Wien.
https://www.cg.tuwien.ac.at/resources/maps/cg/https://www.cg.tuwien.ac.at/resources/maps/guide.html
https://www.tuwien.at/index.php?id=1782
https://wiki.fsinf.at/wiki/Room:HA0503It is not hard to find, yet, it might be confusing the first time around. So please come early on the first meeting. Thank you!
Information
Aims, contents and method of the course
Assessment and permitted materials
4xAssignments: 50%
Final Exam: 50%
Final Exam: 50%
Minimum requirements and assessment criteria
A mandatory prerequisite for this class is the successful completion of Foundations of Computer Graphics (05-2200).The grading scale for the course will be:
1: at least 80%
2: at least 70%
3: at least 60%
4: at least 50%A minimum grade of 25% must be earned on each assignment (without considering penalties) in order to pass the course.
1: at least 80%
2: at least 70%
3: at least 60%
4: at least 50%A minimum grade of 25% must be earned on each assignment (without considering penalties) in order to pass the course.
Examination topics
* applied exercises and tasks
* in-class presentations
* readings
* in-class presentations
* readings
Reading list
Pharr, Matt; Humphreys, Greg: Physically based rendering : from theory to implementation, Morgan Kaufmann, 2016 (3rd edition)
Association in the course directory
Module: IMS AKM
Last modified: Sa 05.03.2022 06:28
* review of basics
* advanced ray tracing
* radiometry / photometry
* image pipeline
* reflectance functions
* Monte-Carlo methods
* photon maps
* radiosity
* participating mediaStudents are enabled to:
* analyse and solve the rendering equation using sophisticated mathematical and statistical methods
* extend a large code base (in C++) and learn how to debug such a system
* analyse and improve rendering algorithms based on efficiency of ray
intersections
* tell apart biased and convergent behaviour of a rendering algorithmStudents gain:
* deep insight into the art and science of physically-based rendering
* an appreciation for applied statistics and applied numerical mathematics
* experience with a production quality rendering system (pbrt)