= Menu

Metropolis Photon Sampling with Optional User Guidance

Shaohua Fan, Stephen Chenney, Yu-Chi Lai
Proceedings of EGSR 2006 — jun 2005
    Download the publication : mpsEgsr05.pdf [1Mo]  
    We present Metropolis Photon Sampling (MPS), a visual importance-driven algorithm for populating photon maps. Photon Mapping and other particle tracing algorithms fail if the photons are poorly distributed. Our approach samples light transport paths that join a light to the eye, which accounts for the viewer in the sampling process and provides information to improve photon storage. Paths are sampled with a Metropolis-Hastings algorithm that exploits coherence among important light paths. We also present a technique for including user selected paths in the sampling process without introducing bias. This allows a user to provide hints about important paths or reduce variance in specific parts of the image. We demonstrate MPS with a range of scenes and show quantitative improvements in error over standard Photon Mapping and Metropolis Light Transport.

    Images and movies


    BibTex references

      author       = "Fan, Shaohua and Chenney, Stephen and Lai, Yu-Chi",
      title        = "Metropolis Photon Sampling with Optional User Guidance",
      booktitle    = "Proceedings of EGSR 2006",
      month        = "jun",
      year         = "2005",
      url          = "http://graphics.cs.wisc.edu/Papers/2005/FCL05"

    Other publications in the database