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        <identifier>oai:www.ideals.illinois.edu:2142/80967</identifier>
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          <dc:contributor>Ahuja, Narendra</dc:contributor>
          <dc:creator>Yu, Tian-Li</dc:creator>
          <dc:date>2015-09-25T20:09:02Z</dc:date>
          <dc:date>2015-09-25T20:09:02Z</dc:date>
          <dc:date>10000-01-01</dc:date>
          <dc:date>2006</dc:date>
          <dc:date>2006</dc:date>
          <dc:description>We take two different approaches to solve the modeling problem. For objects composed of a homogeneous specular material, where stereo correspondence is almost impossible, we develop a method that extends the conventional shape from shading to multiple views and unknown reflectance. It is an iterative framework to solve for the 3D shape and parameterized photometric model. For objects that have complex specular and diffuse textures, we take an object-centered matching approach. Graph cuts on surface distance grid are used to robustly reconstruction 3D shape based on a non-Lambertian photo consistency measure. Then, the texture, illumination and geometric refinement are estimated based on a bilinear reflection equation that involves the diffuse/specular surface reflection and self-shadows.</dc:description>
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  Previous issue date: 2006</dc:description>
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Lift date: Forever
Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
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          <dc:description>104 p.</dc:description>
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          <dc:identifier>(MiAaPQ)AAI3223759</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:subject>Engineering, Electronics and Electrical</dc:subject>
          <dc:title>Geometric and Photometric Modeling of Three-Dimensional Scenes From Multiple Views</dc:title>
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            <department>Electrical Engineering</department>
            <discipline>Electrical Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
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            <name>Ph.D.</name>
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