RAY DENSITY ANALYSIS FOR VIRTUAL SPECTROPHOTOMETERS

Virtual 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.We 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 [email protected]

APPLYING THE EXPONENTIAL CHEBYSHEV INEQUALITY TO THE NONDETERMINISTIC COMPUTATION OF FORM FACTORS

The computation of the fraction of radiation power that leaves a surface and arrives at another, which is specified by the form factor linking both surfaces, is central to radiative transfer simulations. Although there are several approaches that can be used to compute form factors, the application of nondeterministic methods is becoming increasingly important due to the simplicity of their procedures and their wide range of applications. These methods compute form factors implicitly through the application of standard Monte Carlo techniques and ray casting algorithms. Their accuracy and computational costs are, however, highly dependent on the ray density used in the computations. In this paper a mathematical bound, based on probability theory, is proposed to determine the number of rays needed to obtain asymptotically convergent estimates for form factors in a computationally efficient stochastic process. Specifically, the exponential Chebyshev inequality is introduced to the radiative transfer field in order to determine the ray density required to compute form factors with a high reliability/cost ratio. Numerical experiments are provided which illustrate the validity and usefulness of the proposed bound.We 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 [email protected]