Paper Info
Title
Image-Based Modeling And Rendering Of Surfaces With Arbitrary Brdfs
Abstract
A goal of image-based rendering is to synthesize as realistically as possible man made and natural objects. This paper presents a method for image-based modeling and rendering of objects with arbitrary (possibly anisotropic and spatially varying) BRDFs. An object is modeled by sampling the surface's incident light field to reconstruct a non-parametric apparent BRDF at each visible point on the surface. This can be used to render the object from the same viewpoint but under arbitrarily specified illumination. We demonstrate how these object models can be embedded in synthetic scenes and rendered under global illumination which captures the interreflections between real and synthetic objects. We also show how these image-based models can be automatically composited onto video footage with dynamic illumination so that the effects (shadows and shading) of the lighting on the composited object match those of the scene.
Year
DOI
Venue
2001
10.1109/CVPR.2001.990524
2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS
Keywords
Field
DocType
solid modeling,image based rendering,image based modeling and rendering,object model,anisotropic magnetoresistance,computational geometry,light field,lighting,image reconstruction,surface reconstruction,reflectivity,layout,bidirectional reflectance distribution function,global illumination
Bidirectional reflectance distribution function,Iterative reconstruction,Computer vision,Computer graphics (images),Computer science,Computational geometry,Image-based lighting,Global illumination,Artificial intelligence,Solid modeling,Rendering (computer graphics),Image-based modeling and rendering
Conference
ISSN
Citations 
PageRank 
1063-6919
24
2.11
References 
Authors
26
4
Name
Order
Citations
PageRank
Melissa L. Koudelka1775.49
Peter N. Belhumeur2122421001.27
Sebastian Magda31136.75
David J. Kriegman4242.11