{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T13:49:16Z","timestamp":1760622556347},"reference-count":22,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2006,10,31]],"date-time":"2006-10-31T00:00:00Z","timestamp":1162252800000},"content-version":"vor","delay-in-days":4870,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Visual. Comput. Animat."],"published-print":{"date-parts":[[1993,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This paper discusses techniques for the computation of global illumination in environments with a participating medium using a Monte Carlo simulation of the particle model of light. Efficient algorithms and data structures for tracking the particles inside the volume have been developed. The necessary equation for computing the illumination along any given direction has been derived for rendering a scene with a participating medium. A major issue in any Monte Carlo simulation is the uncertainty in the final simulation results. Various steps of the algorithm have been analysed to identify major sources of uncertainty. To reduce the uncertainty, suitable modifications to the simulation algorithm have been suggested using variance reduction methods of <jats:italic>forced collision, absorption suppression<\/jats:italic> and <jats:italic>particle divergence.<\/jats:italic> Some sample scenes showing the results of applying these methods are also included.<\/jats:p>","DOI":"10.1002\/vis.4340040303","type":"journal-article","created":{"date-parts":[[2006,11,17]],"date-time":"2006-11-17T14:36:16Z","timestamp":1163774176000},"page":"133-152","source":"Crossref","is-referenced-by-count":38,"title":["Computation of global illumination in a participating medium by monte carlo simulation"],"prefix":"10.1002","volume":"4","author":[{"given":"S. N.","family":"Pattanaik","sequence":"first","affiliation":[]},{"given":"S. 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