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        <identifier>oai:www.ideals.illinois.edu:2142/26243</identifier>
        <datestamp>2023-07-10</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Hart, John C.</dc:contributor>
          <dc:creator>Bhasin, Rajesh</dc:creator>
          <dc:date>2011-08-25T22:20:07Z</dc:date>
          <dc:date>2011-08-25T22:20:07Z</dc:date>
          <dc:date>2011-08-25T22:20:07Z</dc:date>
          <dc:date>2011-08</dc:date>
          <dc:description>We propose a fast parallel algorithm for reconstruction of 3-Dimensional
point clouds of insects from binocular stereo image pairs using a hierarchical
approach for disparity estimation.When considering the large collections of
insects Entomologists analyze,it becomes difficult to physically handle the entire
collection and share the data with researchers from across the world.With
the method presented in this thesis Entomologists can create an image data
base for the collection and use the 3D models for studying the shape and
structure of the insects.With our approach it is also easy to maintain and
modify the collections. Feedback collected shows that the reconstructed 3D
models are representative of the actual insects and help Entomologists identify
&amp; analyze important features of the insects like shape,size, color &amp; texture
patterns on the exoskeleton.Experimental results show the algorithm to
be robust and accurate with an error of less than 0.5 cm between the dimensions
of the original objects and the reconstructed models. We further
optimize our results to incorporate multiview stereo which produces better
overall structure of the insects.We also present some reconstruction results
for faces.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-06-29T19:24:24Z
Item was in collections:
University of Illinois Theses &amp; Dissertations (ID: 1)
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          <dc:identifier>http://hdl.handle.net/2142/26243</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2011 Rajesh Bhasin</dc:rights>
          <dc:subject>Stereo Reconstruction</dc:subject>
          <dc:subject>Entomology</dc:subject>
          <dc:subject>Insects</dc:subject>
          <dc:subject>Disparity Maps</dc:subject>
          <dc:title>A parallel stereo reconstruction algorithm with applications in entomology (Apsra)</dc:title>
          <degree>
            <department>Computer Science</department>
            <departmentCode>1434</departmentCode>
            <discipline>Computer Science</discipline>
            <disciplineCode>0112</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
            <program>MS:Computer Science -UIUC</program>
            <programCode>10KS0112MS</programCode>
          </degree>
        </thesis>
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