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020 _a9783030223687
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024 7 _a10.1007/978-3-030-22368-7
_2doi
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245 1 0 _aScale Space and Variational Methods in Computer Vision
_h[electronic resource] :
_b7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings /
_cedited by Jan Lellmann, Martin Burger, Jan Modersitzki.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXVII, 574 p. 302 illus., 153 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v11603
520 _aThis book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods. .
650 0 _aComputer vision.
_992127
650 0 _aNumerical analysis.
_94603
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputer Vision.
_992128
650 2 4 _aNumerical Analysis.
_94603
650 2 4 _aMathematical Applications in Computer Science.
_931683
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aLellmann, Jan.
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_4http://id.loc.gov/vocabulary/relators/edt
_992129
700 1 _aBurger, Martin.
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700 1 _aModersitzki, Jan.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030223694
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v11603
_992133
856 4 0 _uhttps://doi.org/10.1007/978-3-030-22368-7
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