hidden - assigned and confirmed by the Study Dept.
Date of registration:
26.09.2012
Date of assignment:
26.09.2012
Confirmed by Study dept. on:
17.01.2013
Date and time of defence:
30.01.2019 09:45
Date of electronic submission:
03.12.2018
Date of submission of printed version:
06.12.2018
Date of proceeded defence:
30.01.2019
Opponents:
Wenzel Jakob
Per Christensen
Guidelines
Recently, Markov Chain Monte Carlo was adopted in light transport simulation for rendering scenes that are very challenging for other algorithms. However, the current algorithms based on Markov chain Monte Carlo are far from being robust, especially in presence of hard to sample light phenomena like reflected caustics or in rendering of animated scenes. The goal of this thesis is to advance the state-of-the art light transport algorithms based on Markov chain Monte Carlo, while increasing their overall robustness.
References
Stephen R. Marschner, Henrik Wann Jensen, Mike Cammarano, Steve Worley, Pat Hanrahan: Light scattering from human hair fibers. ACM Trans. Graph. 22(3): 780-791 (2003)
Jonathan T. Moon, Bruce Walter, Steve Marschner: Efficient multiple scattering in hair using spherical harmonics. ACM Trans. Graph. 27(3): (2008)
Preliminary scope of work in English
Recently, Markov Chain Monte Carlo was adopted in light transport simulation for rendering scenes that are very challenging for other algorithms. However, the current algorithms based on Markov chain Monte Carlo are far from being robust, especially in presence of hard to sample light phenomena like reflected caustics or in rendering of animated scenes. The goal of this thesis is to advance the state-of-the art light transport algorithms based on Markov chain Monte Carlo, while increasing their overall robustness.
- assigned and confirmed by the Study Dept.