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Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I 2015 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 842 pages, height x width: 235x155 mm, 369 Illustrations, black and white; XXI, 842 p. 369 illus., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 8925
  • Izdošanas datums: 30-Mar-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319161776
  • ISBN-13: 9783319161778
  • Mīkstie vāki
  • Cena: 46,91 €*
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  • Formāts: Paperback / softback, 842 pages, height x width: 235x155 mm, 369 Illustrations, black and white; XXI, 842 p. 369 illus., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 8925
  • Izdošanas datums: 30-Mar-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319161776
  • ISBN-13: 9783319161778
The four-volume set LNCS 8925, 8926, 8927, and 8928 comprises the refereed post-proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They where presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; l

ight fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included. .
Where computer vision meets art.- Computer vision in vehicle
technology.-Spontaneous facial behavior analysis.- Consumer depth cameras for
computer vision.- "ChaLearn" looking at people: pose, recovery,
action/interaction, gesture recognition.- Video event categorization, tagging
and retrieval towards big data.