Paper Info
Title
Image-based rendering of diffuse, specular and glossy surfaces from a single image
Abstract
In this paper, we present a new method to recover an approximation of the bidirectional reflectance distribution function (BRDF) of the surfaces present in a real scene. This is done from a single photograph and a 3D geometric model of the scene. The result is a full model of the reflectance properties of all surfaces, which can be rendered under novel illumination conditions with, for example, viewpoint modification and the addition of new synthetic objects. Our technique produces a reflectance model using a small number of parameters. These parameters nevertheless approximate the BRDF and allow the recovery of the photometric properties of diffuse, specular, isotropic or anisotropic textured objects. The input data are a geometric model of the scene including the light source positions and the camera properties, and a single image captured using this camera. Our algorithm generates a new synthetic image using classic rendering techniques, and a lambertian hypothesis about the reflectance model of the surfaces. Then, it iteratively compares the original image to the new one, and chooses a more complex reflectance model if the difference between the two images is greater than a user-defined threshold.We present several synthetic images that are compared to the original ones, and some possible applications in augmented reality.
Year
DOI
Venue
2001
10.1145/383259.383270
SIGGRAPH
Keywords
Field
DocType
reflectance property,bidirectional reflectance distribution function,radiosity,reflectance recovery,brdf models,glossy surface,image-based rendering,rerendering,reflectance model,new synthetic object,rendering,new synthetic image,geometric model,full model,new method,radiance,global illumination,complex reflectance model,inverse rendering,single image,original image,image based rendering,augmented reality
Computer vision,Computer graphics (images),Computer science,Path tracing,Geometric modeling,Image-based lighting,Artificial intelligence,Global illumination,Rendering (computer graphics),Radiosity (computer graphics),Image-based modeling and rendering,Photon mapping
Conference
ISSN
ISBN
Citations 
0097-8930
1-58113-374-X
81
PageRank 
References 
Authors
3.46
29
2
Name
Order
Citations
PageRank
Samuel Boivin1964.82
Andre Gagalowicz2164167.15