Page History

...

• Anchor
  One One

  [1] C. Schlick, An Adaptive Sampling Technique for Multidimensional Integration by Ray Tracing, in Second Eurographics Workshop on Rendering (Spain), 1991, pp. 48-56
  Describes deterministic MC sampling for antialiasing, motion blur, depth of field, area light sampling and glossy reflections.
• [2] K. Chiu, P. Shirley and C. Wang, Multi-Jittered Sampling, in Graphics Gems IV, 1994
  Describes a combination of jittered and N-rooks sampling for the purposes of computer graphics.
  
• [3] Masaki Aono and Ryutarou Ohbuchi, Quasi-Monte Carlo Rendering with Adaptive Sampling, IBM Tokyo Research Laboratory Technical Report RT0167, November 25, 1996, pp.1-5
  An online version can be found at
  http://www.kki.yamanashi.ac.jp/~ohbuchi/online_pubs/eg96_html/eg96.htm
  Describes an application of low discrepancy sequences to area light sampling and the global illumination problem.
  
• [4] M. Fajardo, Monte Carlo Raytracing in Action, in State of the Art in Monte Carlo Ray Tracing for Realistic Image Synthesis, SIGGRAPH 2001 Course 21, pp. 151-162;
  An online version can be found at
  http://cseweb.ucsd.edu/~viscomp/classes/cse274/wi18/readings/course29sig01.pdf
  Describes the ARNOLD renderer employing randomized quasi-Monte Carlo sampling using low discrepancy sequences for pixel sampling, global illumination, area light sampling, motion blur, depth of field, etc.
  
• [5] E. Veach, December, Robust Monte Carlo Methods for Light Transport Simulation, Ph. D. dissertation for Stanford University, 1997, pp. 58-65
  An online version can be found at http://graphics.stanford.edu/papers/veach_thesis/
  Includes a description of low discrepancy sequences, quasi-Monte Carlo sampling and its application to solving the global illumination problem.
  
• [6] L. Szirmay-Kalos, Importance Driven Quasi-Monte Carlo Walk Solution of the Rendering Equation, Winter School of Computer Graphics Conf., 1998
  An online version can be found purchased at https://Importance_Driven_Quasi-Random_Walk_Solution_of_the_rendering_equation.pdfwww.sciencedirect.com/science/article/abs/pii/S0097849399000308 
  Describes a two-pass method for solving the global illumination problem employing quasi-Monte Carlo sampling, as well as importance sampling using low discrepancy sequences.

...