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    High Performance Deformable Image Registration Algorithms for Manycore Processors

High Performance Deformable Image Registration Algorithms for Manycore Processors

James Shackleford, Nagarajan Kandasamy, Gregory Sharp
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      High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans.
      Format: CONTRIBUTORS: James Shackleford, Nagarajan Kandasamy, Gregory Sharp EAN: 9780124077416 COUNTRY: United States PAGES: WEIGHT: 210 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier Science & Technology DATE PUBLISHED: 2013-07-01 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Interactive & Multimedia WIDTH: 152 cm SPINE:

      Book Themes:

      Algorithms and data structures, Artificial intelligence, Computer vision

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      High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans.
      Format: CONTRIBUTORS: James Shackleford, Nagarajan Kandasamy, Gregory Sharp EAN: 9780124077416 COUNTRY: United States PAGES: WEIGHT: 210 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier Science & Technology DATE PUBLISHED: 2013-07-01 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Interactive & Multimedia WIDTH: 152 cm SPINE:

      Book Themes:

      Algorithms and data structures, Artificial intelligence, Computer vision

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