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020 _a9783030012199
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024 7 _a10.1007/978-3-030-01219-9
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082 0 4 _a006.37
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245 1 0 _aComputer Vision - ECCV 2018
_h[electronic resource] :
_b15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part III /
_cedited by Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXXI, 865 p. 643 illus., 338 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v11207
505 0 _aLearning for vision -- Computational photography -- Human analysis -- Human sensing -- Stereo and reconstruction -- Optimization -- Matching and recognition -- Video attention -- Poster sessions.
520 _aThe sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.
650 0 _aComputer vision.
_9106769
650 0 _aComputer graphics.
_94088
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputer Vision.
_9106770
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aFerrari, Vittorio.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9106771
700 1 _aHebert, Martial.
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700 1 _aSminchisescu, Cristian.
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_9106773
700 1 _aWeiss, Yair.
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_9106774
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:
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830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v11207
_9106776
856 4 0 _uhttps://doi.org/10.1007/978-3-030-01219-9
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