NIST · ИТ · 73b05f480ac4f72d73d6
Shape Calculus for Shape Energies in Image Processing
Many image processing problems are naturally expressed as energy minimization or shape optimization problems, in which the free variable is a shape, such as a curve in 2d or a surface in 3d. Examples are image segmentation, multiview stereo reconstruction
NIST · ИТОфициальный источник · 2013-07-22
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"title_en": "Shape Calculus for Shape Energies in Image Processing",
"designation": "",
"series": "",
"status": "",
"date": "2013-07-22",
"date_original": "July 22, 2013",
"url": "https://www.nist.gov/publications/shape-calculus-shape-energies-image-processing",
"source": "NIST Publications",
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"authors_en": "Gunay Dogan , Ricardo H. Nochetto",
"abstract_excerpt_en": "Many image processing problems are naturally expressed as energy minimization or shape optimization problems, in which the free variable is a shape, such as a curve in 2d or a surface in 3d. Examples are image segmentation, multiview stereo reconstruction",
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"title_en": "Shape Calculus for Shape Energies in Image Processing",
"designation": "",
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"date": "2013-07-22",
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"authors_en": "Gunay Dogan , Ricardo H. Nochetto",
"abstract_excerpt_en": "Many image processing problems are naturally expressed as energy minimization or shape optimization problems, in which the free variable is a shape, such as a curve in 2d or a surface in 3d. Examples are image segmentation, multiview stereo reconstruction"
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