In this paper we consider the problem of factoring illumination and texture from a pair of images of a diffuse object of known geometry. This problem arises frequently in 3D photography applications that use images to acquire photometric properties of a scanned object. Our approach uses the ratio of the images and the geometry information to compute the relative incident irradiance of one image with respect to the other. After the irradiance maps are recovered, we build a spatially varying albedo map, which can then be used to render the object under different illumination conditions. We present two algorithms, one for point-light source illumination, and another one based on spherical harmonics for more general illumination conditions
Inverse rendering infers realistic descriptions of illumination and material properties from photogr...
After thirty years of researching, the photometric stereo technique for 3D shape recovery still does...
Many techniques have been developed in computer vision to recover three-dimensional shape from two-d...
Applications using image-based illumination analysis are very limited in the current literature of c...
none4siRecovering the 3D shape of an object from shading is a challenging problem due to the complex...
Recovering the light sources from images in which the objects can move is difficult both because the...
Recovering the 3D shape of an object from shading is a challenging problem due to the complexity of ...
Recovery of scene shape, reflectance, and illumination are of fundamental importance to computer vis...
Acquisition of displacement and albedo maps for full building façades is a difficult problem and tra...
diffuse, specular, specular normal, and specular roughness maps. (c) A rendering of the sunglasses w...
Work on photometric stereo has shown how to recover the shape and reflectance properties of an objec...
The changes in surface shading caused by varying illumination constitute an important cue to discern...
Creating textured 3D scans of indoor environments has experienced a large boost with the advent of c...
We present a method to recover the reflectance of objects and the parameters of multiple lights illu...
The field of computer vision has grown enormously in the last decade, and significant progress has b...
Inverse rendering infers realistic descriptions of illumination and material properties from photogr...
After thirty years of researching, the photometric stereo technique for 3D shape recovery still does...
Many techniques have been developed in computer vision to recover three-dimensional shape from two-d...
Applications using image-based illumination analysis are very limited in the current literature of c...
none4siRecovering the 3D shape of an object from shading is a challenging problem due to the complex...
Recovering the light sources from images in which the objects can move is difficult both because the...
Recovering the 3D shape of an object from shading is a challenging problem due to the complexity of ...
Recovery of scene shape, reflectance, and illumination are of fundamental importance to computer vis...
Acquisition of displacement and albedo maps for full building façades is a difficult problem and tra...
diffuse, specular, specular normal, and specular roughness maps. (c) A rendering of the sunglasses w...
Work on photometric stereo has shown how to recover the shape and reflectance properties of an objec...
The changes in surface shading caused by varying illumination constitute an important cue to discern...
Creating textured 3D scans of indoor environments has experienced a large boost with the advent of c...
We present a method to recover the reflectance of objects and the parameters of multiple lights illu...
The field of computer vision has grown enormously in the last decade, and significant progress has b...
Inverse rendering infers realistic descriptions of illumination and material properties from photogr...
After thirty years of researching, the photometric stereo technique for 3D shape recovery still does...
Many techniques have been developed in computer vision to recover three-dimensional shape from two-d...