Polarimetric imaging is a growing topic of interest in computer vision for resolving the
toughest edge cases and adversarial problems in detection and reconstruction where …

Realistic modeling of material appearance via the bidirectional reflectance distribution
function (BRDF) is an essential ingredient of physically-based light transport simulation. In …

Estimating the polarization properties of objects from polarization images is still an important
but extremely undefined problem. Currently, there are two types of methods to probe the …

In order to characterize a target, the basic information that is of interest is spectral,
polarization and distance. Imaging spectropolarimetry is a powerful tool for obtaining the …

The Bidirectional Reflectance Distribution Function (BRDF) is of substantial use in remote
sensing, scene generation, and computer graphics, to describe optical scatter off realistic …

Using measurements of real-world samples of metals, the proposed approach verifies
predictions of bidirectional reflectance distribution function (BRDF) models. It employs …

In computer graphics, a large number of BRDF models have been introduced over the years.
Some are purely appearancebased heuristics, while others are physically plausible. To …

When unpolarised light is reflected from a smooth dielectric surface, it becomes partially
polarised. This is due to the orientation of dipoles induced in the reflecting medium and …

A growing trend in computer vision has been the use of physical reflectance models,
predicting reflected radiant intensity and color, to obtain constraints on object features. Until …

The augmentation of passive IR conventional and hyperspectral imaging sensors with
polarimetric capability offers enhanced discrimination of man-made and geophysical targets …