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Course, academic year 2019/2020
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Computer Graphics III - NPGR010
Title in English: Počítačová grafika III
Guaranteed by: Department of Software and Computer Science Education (32-KSVI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2019 to 2019
Semester: winter
E-Credits: 6
Hours per week, examination: winter s.:2/2 C+Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Additional information: http://cgg.mff.cuni.cz/lectures/npgr010.cz.html
Guarantor: doc. Ing. Jaroslav Křivánek, Ph.D.
Class: DS, softwarové systémy
Informatika Bc.
Informatika Mgr. - volitelný
M Mgr. MMIB
M Mgr. MMIB > Povinně volitelné
Classification: Informatics > Computer Graphics and Geometry
Annotation -
Last update: doc. Ing. Jaroslav Křivánek, Ph.D. (26.05.2011)
Advanced course in computer graphics with the emphasis on image synthesis. Main topics are rendering equation, Monte-Carlo rendering methods, path tracing, photon mapping etc. Furthermore, the course gives a survey of selected methods from advanced computer graphics such as computational photography, HDR and one mapping, sound simulation, inverse kinematics, skinning, motion capture, dynamics of rigid bodies and fluids.
Course completion requirements - Czech
Last update: doc. Ing. Jaroslav Křivánek, Ph.D. (03.09.2019)

Pro udělení zápočtu je třeba odevzdat všechny vypracované úlohy anebo individuální projekt.

Dále je povinností složit zkoušku se ziskem alespoň 50% bodů.

Literature -
Last update: doc. Ing. Jaroslav Křivánek, Ph.D. (03.09.2019)

Pharr M., Jakob W., Humphreys G.: Physically Based Rendering: From Theory To Implementation. Morgan Kaufmann; 3rd edition, 2016.

http://www.pbr-book.org/3ed-2018/contents.html

Veach E.: Robust Monte Carlo Methods for Light Transport Simulation, Ph.D. dissertation, Stanford University, 1997.

Syllabus -
Last update: doc. Ing. Jaroslav Křivánek, Ph.D. (03.09.2019)

1. Rendering theory:

Radiometric quantities, BRDF, local and global rendering equation.

2. Monte Carlo rendering methods:

Monte Carlo integration methods for integration and for solution of integral equations, combined estimators. Applications for in: path tracing, bidirectional path tracing, photon mapping, irradiance caching.

 
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