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Herausgeber: 
  • Reinhard Klette
  • Max A. Viergever
  • H. Siegfried Stiehl
  • Koen L. Vincken
  • Performance Characterization in Computer Vision 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Dezember 2010  
    Genre:  EDV / Informatik 
     
    3D / Algorithmen und Datenstrukturen / Algorithms / Analysis / Bildverarbeitung / Computer / computerscience / Computervision
    ISBN:  9789048154876 
    EAN-Code: 
    9789048154876 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 19 mm 
    Gewicht:  511 gr 
    Seiten:  336 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This edited volume addresses a subject which has been discussed inten? sively in the computer vision community for several years. Performance characterization and evaluation of computer vision algorithms are of key importance, particularly with respect to the configuration of reliable and ro? bust computer vision systems as well as the dissemination of reconfigurable systems in novel application domains. Although a plethora of literature on this subject is available for certain' areas of computer vision, the re? search community still faces a lack of a well-grounded, generally accepted, and--eventually-standardized methods. The range of fundamental problems encoIl!passes the value of synthetic images in experimental computer vision, the selection of a representative set of real images related to specific domains and tasks, the definition of ground truth given different tasks and applications, the design of experimental test? beds, the analysis of algorithms with respect to general characteristics such as complexity, resource consumption, convergence, stability, or range of admissible input data, the definition and analysis of performance measures for classes of algorithms, the role of statistics-based performance measures, the generation of data sheets with performance measures of algorithms sup? porting the system engineer in his configuration problem, and the validity of model assumptions for specific applications of computer vision.

      



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