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Image-based Extraction Of Material Reflectance Properties Of A 3d Object

In this study, an appearance reconstruction method based on extraction of
material re&amp / #64258 / ectance properties of a three-dimensional (3D) object from its twodimensional
(2D) images is explained. One of the main advantages of this system
is that the reconstructed object can be rendered in real-time with photorealistic
quality in varying illumination conditions. Bidirectional Re&amp / #64258 / ectance Distribution
Functions (BRDFs) are used in representing the re&amp / #64258 / ectance of the object. The
re&amp / #64258 / ectance of the object is decomposed into di&amp / #64256 / use and specular components and
each component is estimated seperately. While estimating the di&amp / #64256 / use components,
illumination-invariant images of the object are computed from the input
images, and a global texture of the object is extracted from these images by using
surface particles. The specular re&amp / #64258 / ectance data are collected from the residual
images obtained by taking di&amp / #64256 / erence between the input images and corresponding
illumination-invariant images, and a Lafortune BRDF model is &amp / #64257 / tted to these
data. At the rendering phase, the di&amp / #64256 / use and specular components are blended
into each other to achieve a photorealistic appearance of the reconstructed object.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/1128784/index.pdf
Date01 January 2003
CreatorsErdem, Mehmet Erkut
ContributorsAtalay, Volkan
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for public access

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