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Weitersagen:


Herausgeber: 
  • Misha Pavel
  • Michael S Landy
  • Laurence T Maloney
  • Exploratory Vision: The Active Eye 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  November 1995  
    Genre:  EDV / Informatik 
     
    Biowissenschaften, allgemein / Computers - General Information / COMPUTERS / Computer Graphics / COMPUTERS / Computer Vision & Pattern Recognition / COMPUTERS / Optical Data Processing / Grafikprogrammierung
    ISBN:  9780387945637 
    EAN-Code: 
    9780387945637 
    Verlag:  Springer New York 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Springer Series in Perception  
    Dimensionen:  H 241 mm / B 161 mm / D 23 mm 
    Gewicht:  635 gr 
    Seiten:  344 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma­ chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com­ puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys­ tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This "neuro­ morphic" or "anthropomorphic" approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex­ ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor­ of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems.

      



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