This paper focuses on microfacet reflectance models, and more precisely on the definition of a new and more general distribution function, which includes both Beckmann’s and GGX distributions widely used in the computer graphics community. Therefore, our model makes use of an additional parameter γ, which controls the distribution function slope and tail height. It actually corresponds to a biv...

We present a method for decomposing a single face photograph into its intrinsic image components. Intrinsic image decomposition has commonly been used to facilitate image editing operations such as relighting and re-texturing. Although current single-image intrinsic image methods are able to obtain an approximate decomposition, image operations involving the human face require greater accuracy ...

Fitting parameterized 3D shape and general reflectance models to 2D image data is challenging due to the high dimensionality of the problem. The proposed method combines the capabilities of classical and photometric stereo, allowing for accurate reconstruction of both textured and non-textured surfaces. In particular, we present a variational method implemented as a PDE-driven surface evolution...

Captured reflectance fields provide in most cases a rather coarse sampling of the incident light directions. As a result, sharp illumination features, such as highlights or shadow boundaries, are poorly reconstructed during relighting; highlights are disconnected, and shadows show banding artefacts. In this paper, we propose a novel interpolation technique for 4D reflectance fields that is capa...

The paper presents new, simple and physically plausible, but not physically based reflectance models for metals and other specular materials. The most important member of this family is the modification of the Phong model, which can eliminate its non-metallic characteristics. The new model gives back the ideal mirror in the limit case, is easier to compute than other known models and is particu...

The amount and spectral content of the light reflected by most natural surfaces depends on the structure of the light field, the observer's viewing position, and 3D surface geometry, particularly for specular (glossy) surfaces. A growing body of data has demonstrated that perceived surface gloss can vary as a function of its 3D shape and its illumination field, but there is currently no explana...

We aim to create systems that identify and locate objects by comparing known, 3D shapes to intensity images that they have produced. To do this we focus on verification methods that determine whether a known model in a specific pose is consistent with an image. We build on prior work that has done this successfully for Lambertian objects, to handle a much broader class of shiny objects that pro...

We consider the problem of estimating the surface of an object from a calibrated set of views under the assumption that the reflectance of the object is non-Lambertian. In particular, we consider the case when the object presents sharp specular reflections. We pose the problem within a variational framework and use fast numerical techniques to approach the local minimum of a regularized cost fu...