Specular reflections present difficulties for many areas of computer vision such as stereo and segmentation. To separate specular and diffuse reflection components, previous approaches generally require accurate segmentation, regionally uniform reflectance or structured lighting. To overcome these limiting assumptions, we propose a method based on color analysis and multibaseline stereo that si...

Rigidity and reflectance are key object properties, important in their own rights, and they are key properties that stratify motion reconstruction algorithms. However, the inference of rigidity and reflectance are both difficult without additional information about the object’s shape, the environment, or lighting. For humans, relative motions of object and observer provides rich information abo...

A method is presented that can render glossy reflections with arbitrary isotropic bidirectional reflectance distribution functions (BRDFs) at interactive rates using texture mapping. This method is based on the well-known environment map technique for specular reflections. Our approach uses a singleor multilobe representation of bidirectional reflectance distribution functions, where the shape ...

Robust M-periodogram is defined for the analysis of signals with heavy-tailed distribution noise. In the form of a robust spectrogram (RSPEC) it can be used for the analysis of nonstationary signals. In this paper a RSPEC based instantaneous frequency (IF) estimator, with a timevarying window length, is presented. The optimal choice of the window length can resolve the bias-variance tradeoff in...

Reflectance values for image-based relighting are often estimated from grouped pixels with similar reflectance, but such groupings are difficult to compute with certainty for sparse image data. To address this problem, we propose an iterative method that aggregates BRDF data in a single image with known geometry and lighting by soft grouping, where pixels contribute to one another’s estimate ac...

In mixed reality, it is important to estimate object surface reflectance properties to render real objects under arbitrary illumination conditions. The authors developed a method to estimate reflectance properties of object surfaces densely. However, it was difficult to estimate surface reflectance properties faithfully for objects with interreflections. This paper describes a new method of den...

The reflectance of inhomogeneous objects can be described as a linear combination of diffuse and specular reflection components. Most computer vision algorithms assume that visually observable surfaces consist only of diffuse reflection. The existence of specular reflection can be misleading to these computer vision algorithms. A new algorithm dark channel prior based specularity removal is pro...