RAY DENSITY ANALYSIS FOR VIRTUAL SPECTROPHOTOMETERS

dc.contributor.authorBaranoski, Gladimir V.G.eng
dc.contributor.authorRokne, Jon G.eng
dc.contributor.authorXu, Guangwueng
dc.date.accessioned2008-05-08T18:37:57Z
dc.date.available2008-05-08T18:37:57Z
dc.date.computerscience1999-05-27eng
dc.date.issued1999-03-01eng
dc.description.abstractVirtual spectrophotometric measurements have important applications in physically-based rendering. These measurements can be used to evaluate reflectance and transmittance models through comparisons with actual spectrophotometric measurements. Moreover, they can also be used to generate spectrophotometric data, which are dependent either on the wavelength or on the illuminating geometry of the incident radiation, from previously validated models. In this paper the ray casting based formulation for virtual spectrophotometers is discussed, and a mathematical bound, based on probability theory, is proposed to determine the number of rays needed to obtain asymptotically convergent readings. Specifically, the exponential Chebyshev inequality is introduced to determine the ray density required to obtain reflectance and transmittance measurements with a high reliability/cost ratio. Practical experiments are provided to illustrate the validity and usefulness of the proposed approach.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1999-639-02eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30977
dc.identifier.urihttp://hdl.handle.net/1880/46402
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleRAY DENSITY ANALYSIS FOR VIRTUAL SPECTROPHOTOMETERSeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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