052213 VU Image Synthesis (2022S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 14.02.2022 09:00 bis Do 24.02.2022 10:00
- Abmeldung bis Mo 14.03.2022 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
DI wtl von 01.03.2022 bis 28.06.2022 11.00-13.00; DO wtl von 03.03.2022 bis 30.06.2022 11.00-13.00Ort: 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.htmlhttps://www.tuwien.at/index.php?id=1782https://wiki.fsinf.at/wiki/Room:HA0503
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
4xAssignments: 56%
2xCourse Feedback: 4%
Final Project: 40%
2xCourse Feedback: 4%
Final Project: 40%
Mindestanforderungen und Beurteilungsmaßstab
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 87.5%
2: at least 75.0%
3: at least 60.0%
4: at least 40.0%A minimum grade of 25% must be earned on each assignment (without considering penalties) in order to pass the course.
1: at least 87.5%
2: at least 75.0%
3: at least 60.0%
4: at least 40.0%A minimum grade of 25% must be earned on each assignment (without considering penalties) in order to pass the course.
Prüfungsstoff
* applied exercises and tasks
* accomplishing a final project
* in-class presentations
* readings
* accomplishing a final project
* in-class presentations
* readings
Literatur
Pharr, Matt; Humphreys, Greg: Physically based rendering : from theory to implementation, Morgan Kaufmann, 2016 (3rd edition)
Zuordnung im Vorlesungsverzeichnis
Module: IMS AKM
Letzte Änderung: 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)