Optimal reconstruction of a surface using a reference library

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To reconstruct (approximate) an arbitrary surface using subsurfaces (patches) from a library of surfaces in an optimal way is an interesting algorithmic problem and has many applications in image processing. This paper presents an efficient algorithm for an optimal reconstruction of a query surface using patches from a reference library of surfaces, under the constraint that the smallest patch size is above some specified value. In this algorithm, a surface is given as an integer function f(x, y) over a finite 2-D grid. The algorithm partitions a query surface into patches in such a way that each patch is represented ... continued below

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11 p.

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Xu, Ying; Olman, V. & Uberbacher, E.C. September 1, 1997.

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Description

To reconstruct (approximate) an arbitrary surface using subsurfaces (patches) from a library of surfaces in an optimal way is an interesting algorithmic problem and has many applications in image processing. This paper presents an efficient algorithm for an optimal reconstruction of a query surface using patches from a reference library of surfaces, under the constraint that the smallest patch size is above some specified value. In this algorithm, a surface is given as an integer function f(x, y) over a finite 2-D grid. The algorithm partitions a query surface into patches in such a way that each patch is represented by a similar patch from a library surface, and the total difference between the query surface and the representing (composite) surface is minimized, where the boundary of a patch is not pre-determined but solely determined by the optimization process. By using a minimum spanning tree-based data structure, this optimization problem can be solved efficiently. An application of this technique in computational forensics is outlined.

Physical Description

11 p.

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OSTI as DE97008473

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  • International conference on imaging science, systems, and technology, Las Vegas, NV (United States), 30 Jun - 2 Jul 1997

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  • Other: DE97008473
  • Report No.: CONF-9706151--1
  • Grant Number: AC05-96OR22464
  • Office of Scientific & Technical Information Report Number: 522739
  • Archival Resource Key: ark:/67531/metadc691236

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Office of Scientific & Technical Information Technical Reports

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Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • September 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • Jan. 19, 2016, 8:55 p.m.

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Xu, Ying; Olman, V. & Uberbacher, E.C. Optimal reconstruction of a surface using a reference library, article, September 1, 1997; Tennessee. (digital.library.unt.edu/ark:/67531/metadc691236/: accessed April 25, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.