Specularities-bright image regions formed by specular reflection-are likely to be mistaken for genuine surface markings by processes that perform photometric analysis, derive motion fields from optical flow or est imate depth from binocular stereo. In addition th ey can be used to infer surface geometry. This paper describes a scheme for detecting specularities based on a characterisation of La...

The maximum power cast on a collector from a source of finite angular extension by a concentrator of fixed position occurs when the collector sees the concentrator as a Lambertian source. Concentrators not fully meeting this requirement are evaluated using a parameter called the shape quality factor. Lambertian concentrators can be obtained with mirrors but not with lenses of finite n. In many ...

This paper presents a novel optimization framework for estimating the static or dynamic surfaces with details. The proposed method uses dense depths from a structuredlight system or sparse ones from motion capture as the initial positions, and exploits non-Lambertian reflectance models to approximate surface reflectance. Multi-stage shape-from-shading is then applied to optimize both shape geom...

We introduce a technique based on multispectral images aimed at improving Lambertian photometric stereo. Many photometric stereo algorithms assume Lambertian reflectance, but deviations from this ideal produce errors in shape reconstruction. To alleviate this problem, we exploit the wavelength-dependence of material reflectance. Based on the observation that reflectance at certain wavelengths f...

In this paper we propose a solution for view synthesis of scenes presenting highly non-Lambertian objects. While Image- Based Rendering methods can easily render diffuse materials given only their depth, objects present non-linear displacements features, characterized by curved lines in epipolar plane images. Hence, to replace the depth maps used rendering new viewpoints more complex “non- Lamb...