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  <responseDate>2026-05-01T12:24:44Z</responseDate>
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        <identifier>oai:meral.edu.mm:recid/3561</identifier>
        <datestamp>2022-03-24T23:15:55Z</datestamp>
        <setSpec>1582963302567:1597824273898</setSpec>
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          <dc:title>Depth Computing based on Stereo Matching with Singular Value Decomposition</dc:title>
          <dc:creator>Aye, Nyein</dc:creator>
          <dc:creator>Aung, Sandar</dc:creator>
          <dc:description>The system is aimed to develop the 3D modelreconstruction from multi stereo images. In this paper,an efficient depth computing based on stereo matchingalgorithm is introduced based on feature extractionwith morphological method and efficient matchingmethod. To reconstruct the 3D model, the depth map iscreated by the algorithm with Gaussian correlationbased on the singular value decomposition (SVD)approach is used to project the image point. Anefficient surface reconstruction algorithm is developedfor generating the 3D model of an object. The objectiveof the system is to reconstruct the 3D model of multistereo images to reduce the time complexities andocclusion errors of the scene and object.</dc:description>
          <dc:date>2015-02-05</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000003561</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/3561</dc:identifier>
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