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        <identifier>oai:www.ideals.illinois.edu:2142/115651</identifier>
        <datestamp>2023-07-11</datestamp>
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          <dc:contributor>Gruev, Viktor</dc:contributor>
          <dc:date>2022-05</dc:date>
          <dc:format>application/pdf</dc:format>
          <dc:language>en</dc:language>
          <dc:type>text</dc:type>
          <dc:description>Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01</dc:description>
          <dc:description>The student, Justin Haque, accepted the attached license on 2021-12-10 at 16:50.</dc:description>
          <dc:description>The student, Justin Haque, submitted this Thesis for approval on 2021-12-10 at 16:54.</dc:description>
          <dc:description>This Thesis was approved for publication on 2021-12-14 at 08:58.</dc:description>
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          <dc:title>Characterization of a polarization dynamic active pixel vision sensor</dc:title>
          <dc:creator>Haque, Justin</dc:creator>
          <dc:date>2021-12-14</dc:date>
          <dc:subject>Engineering</dc:subject>
          <dc:description>The stomatopod (mantis shrimp) visual system has recently provided a blueprint for the design of paradigm-shifting polarization and multispectral imaging sensors, enabling solutions to challenging medical and remote sensing problems. However, these bioinspired sensors lack the high dynamic range (HDR) and asynchronous polarization vision capabilities of the stomatopod visual system, limiting temporal resolution to ∼12 ms and dynamic range to ∼72 dB. To address these challenges, we have developed a polarization sensitive imaging device that provides both synchronous (ie frame based) and asynchronous (ie event based) visual information.  The sensor has a dynamic range over 120 dB and has sub-millisecond latency. The event based polarization information is processed with a deep neural network in order to reconstruct angel and degree of polarization data beyond the maximum Nyquist frame rate.</dc:description>
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          <dc:identifier>https://hdl.handle.net/2142/115651</dc:identifier>
          <dc:rights>Copyright 2022 Justin Haque</dc:rights>
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            <discipline>Electrical &amp; Computer Engr</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <department>Electrical &amp; Computer Eng</department>
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