One of the more exciting and unsolved problems in computer vision nowadays is automatic, fast and full interpretation of face images under variable conditions of lighting and pose. Interpretation is the inference of knowledge from an image. This knowledge covers relevant information, such as 3D shape and albedo, both related to the identity, but also information about physical factors which aff...

Projective texture mapping is a method of texture mapping described by Segal [3] that allows the texture image to be projected onto the scene as if by a slide projector. Figure 1 shows some example screen shots from the projspot demo, available in the NVIDIA OpenGL SDK. Projective texture mapping is useful in a variety of lighting techniques, including shadow mapping [4]. This document provides...

We present a set of algorithms that recovers detailed building surface structures from large sets of urban images containing severe occlusions and lighting variations. An iterative weighted-average algorithm is introduced to recover high-quality consensus facade texture. 2D and 3D methods are combined to extract microstructures, facilitating urban model refinement and visualization. Keywords— t...

In computer graphics, texture mapping is an important means to enhance the realism of model. Traditional texture image always was captured under special light condition. If the lighting in virtual environment is different from the texture image, the result of rendering will be incorrect and unrealistic. This paper proposes an image-based method to fit the reflection mode by a quadratic multinom...

The recognition of color texture under varying lighting conditions remains an open issue. Several features have been proposed for this purpose, ranging from traditional statistical descriptors to features extracted with neural networks. Still, it is not completely clear under what circumstances a feature performs better than others. In this paper, we report an extensive comparison of old and ne...

This paper presents a texture synthesis method for relighting and texture transfer. This method is based on the observation that many points on the surface of a textured object share the same material but have different normals. Hence, once we identify these points, we collect many samples of a material under different illuminations. Hence, we can relight the object by interpolating similar lig...

In this paper, we present a method that integrates cues from shading, shadow and specular reflections for estimating directional illumination in a textured scene. Texture poses a problem for lighting estimation, since texture edges can be mistaken for changes in illumination condition, and unknown variations in albedo make reflectance model fitting inpractical. Unlike previous works which all a...

We present a system for painting how the appearance of an object changes under different lighting and viewing conditions. The user paints what the object should look like under different lighting conditions (dark, partially dark, fully lit, etc.) and (optionally) different viewing angles. The system renders the object under new lighting conditions and a new viewing angle by combining these pain...

We present a system for painting how the appearance of an object changes under different lighting and viewing conditions. The user paints what the object should look like under different lighting conditions (dark, partially dark, fully lit, etc.) and (optionally) different viewing angles. The system renders the object under new lighting conditions and a new viewing angle by combining these pain...

Texture synthesis models have become a popular tool for studying the representations supporting texture processing in human vision. In particular, the summary statistics implemented in the Portilla-Simoncelli (P-S) model support high-quality synthesis of natural textures, account for performance in crowding and search tasks, and may account for the response properties of V2 neurons. We chose to...