SubjectsSubjects(version: 802)
Course, academic year 2016/2017
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Predictive Image Synthesis Technologies - NPGR026
Czech title: Predictive Image Synthesis Technologies
Guaranteed by: Department of Software and Computer Science Education (32-KSVI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2013
Semester: summer
E-Credits: 6
Hours per week, examination: summer s.:2/2 C+Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Note: předmět je možno zapsat mimo plán
Guarantor: doc. Alexander Wilkie, Dr.
doc. Ing. Jaroslav Křivánek, Ph.D.
Class: DS, softwarové systémy
Informatika Mgr. - volitelný
Classification: Informatics > Computer Graphics and Geometry
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.
Literature - Czech
Last update: doc. Alexander Wilkie, Dr. (18.03.2014)

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 paper about spectral MIS mentioned in the lecture:

http://home.agh.edu.pl/~mradzisz/PUBS/spectrum.pdf

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

 
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