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dc.contributor.authorChong, Hamilton Y.
dc.contributor.authorGortler, Steven J.
dc.date.accessioned2016-01-07T19:43:37Z
dc.date.issued2007
dc.identifier.citationChong, Hamilton Y. and Steven J. Gortler. 2007. Scene Optimized Shadow Mapping. Harvard Computer Science Group Technical Report TR-07-07.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:24019787
dc.description.abstractShadow mapping possesses an aliasing issue that is difficult to control. Recently a number of techniques, beginning with Perspective Shadow Maps have been proposed to choose the best possible 4 by 4 matrix for the light’s projection matrix. These new methods offer no guarantees of optimality, and can perform very poorly for some light configurations. Here we describe a method that chooses the 4 by 4 matrix using an optimization framework. We then describe numerical experimental results comparing our method to some of the previously suggested techniques.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dash.licenseLAA
dc.titleScene Optimized Shadow Mappingen_US
dc.typeResearch Paper or Reporten_US
dc.description.versionVersion of Recorden_US
dash.depositing.authorGortler, Steven J.
dc.date.available2016-01-07T19:43:37Z
dash.contributor.affiliatedGortler, Steven


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