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.
Seznam odborné literatury
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)
Předběžná náplň práce v anglickém jazyce
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.
- zadáno a potvrzeno stud. odd.