Sentence examples for modeling light from inspiring English sources

Microfacet models have proven very successful for modeling light reflection from rough surfaces.

In this work, we demonstrate the validity of the simplified spherical harmonics equations to approximate the more complicated equation of radiative transfer for modeling light propagation in biological tissue.

An accurate surface reconstruction method is important to fluorescence molecular tomography (FMT) for it provides boundary information of the domain occupied by the image object which is essential to modeling light propagation in free space and inside the object.

Compared to other imaging modalities, such as magnetic resonance imaging (MRI), x-ray computed tomography (CT), and ultrasound, a major disadvantage of FDOT for preclinical imaging is the difficulty in modeling light propagation in highly scattering and heterogeneous media.

This new approach, which builds the proper Green's function for optical imaging from experimentally measured clean image, should be applicable in modeling light propagation in general when the commonly used diffusion model is inadequate or incorrect.

The Monte Carlo method is capable of modeling light propagation in diffuse media over a broad spectral range, for small finite complex volume, for all the optical properties encountered in bio-tissue and for non-scattering or low-scattering regimes [ 23].

The numerical results support our findings based on the theoretical derivations and suggest that CH models should play a useful role in modeling light-tissue interactions.

This paper presents a simplified analytical model and balanced design approach for modeling light-weight wood-based structural panels in bending.

This intra-specific consistency is useful for modelling light in forests.

Monte Carlo simulations were performed to model light transport using a customized code that was verified using both analytic and computational standards.

Stick functions modeled light onsets and light offsets.