Image Analysis and Recognition

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The two volumes LNCS 8814 and 8815 constitute the thoroughly refereed proceedings of the 11th International Conference on Image Analysis and Recognition, ICIAR 2014, held in Vilamoura, Portugal, in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in the following topical sections: image representation and models; sparse representation; image restoration and enhancement; feature detection and image segmentation; classification and learning methods; document image analysis; image and video retrieval; remote sensing; applications; action, gestures and audio-visual recognition; biometrics; medical image processing and analysis; medical image segmentation; computer-aided diagnosis; retinal image analysis; 3D imaging; motion analysis and tracking; and robot vision.

Includes supplementary material: sn.pub/extras

Inhalt
Image representation and models.- Sparse representation.- Image restoration and enhancement.- Feature detection and image segmentation.- Classification and learning methods.- Document image analysis.- Image and video retrieval.- Remote sensing.- Applications.- Action, gestures and audio-visual recognition.- Biometrics.- Medical image processing and analysis.- Medical image segmentation.- Computer-aided diagnosis.- Retinal image analysis.- 3D imaging.- Motion analysis and tracking.- Robot vision.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319117577
    • Auflage 2014
    • Editor Mohamed Kamel, Aurélio Campilho
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H235mm x B155mm x T30mm
    • Jahr 2014
    • EAN 9783319117577
    • Format Kartonierter Einband
    • ISBN 3319117572
    • Veröffentlichung 27.10.2014
    • Titel Image Analysis and Recognition
    • Untertitel 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part I
    • Gewicht 814g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 544
    • Lesemotiv Verstehen

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