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Predictive Image Synthesis Technologies - NPGR026

Title:	Predictive Image Synthesis Technologies
Guaranteed by:	Department of Software and Computer Science Education (32-KSVI)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2023
Semester:	summer
E-Credits:	4
Hours per week, examination:	summer s.:2/1, C+Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	English
Teaching methods:	full-time
Teaching methods:	full-time
Note:	course can be enrolled in outside the study plan

Guarantor:	doc. Alexander Wilkie, Dr.
Class:	DS, softwarové systémy Informatika Mgr. - volitelný
Classification:	Informatics > Computer Graphics and Geometry
Is incompatible with:	NPGX026
Is interchangeable with:	NPGX026

Opinion survey results Examination dates SS schedule Noticeboard

Annotation -

Last update: JUDr. Dana Macharová (24.09.2008)

The topic of this lecture is predictive image synthesis, and the technologies that are needed to accomplish it. The emphasis of the lecture is on those aspects of computer graphics that are unique to this particular application domain.

Course completion requirements -

Last update: doc. Alexander Wilkie, Dr. (18.06.2019)

Evaluation of student knowledge is via a single exam after the course ends. During this exam, several of the questions listed in the document with sample questions for the course will be asked. The grade is the average of the performance on the individual questions. Successful completion of the practicals depends on handing in several assignments during the course of the semester in a timely fashion.

Literature - Czech

Last update: doc. Alexander Wilkie, Dr. (13.03.2018)

Julie Dorsey, Holly Rushmeier, Francois Sillion: Digital Modeling of Material Appearance, Morgan Kaufmann, 2007, ISBN 0122211812, 9780122211812

Dutre P., Bala K., Bekaert P: Advanced Global Illumination, A K Peters, 2006

The slides from the Rendering lecture held at Vienna University of Technology were taken from this webpage:

https://www.cg.tuwien.ac.at/courses/Rendering/VU.SS2018.html

Syllabus -

Last update: JUDr. Dana Macharová (24.09.2008)

1. Definition of predictive rendering

2. Physics background
the foundations of light transport

3. Theoretical foundations of rendering technologies
the rendering equation, emphasis on the unbiased rendering algorithms typical for predictive rendering

4. Spectral rendering
how one can represent the spectral behaviour of light and reflectance

5. Physically based reflectance models

6. Measurement of surface properties

7. Measurement of incident illumination

8. Verification of rendering techniques

9. Display considerations for Predictive Rendering results