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Biologically Inspired Computer Vision [electronic resource]: Fundamentals and Applications

Cristobal, Gabriel; Keil, Matthias S; Perrinet, Laurent; Wiley Online Library UBCM All Obooks
Format
EBook; Book; Online
Published
Wiley-VCH [Imprint] Hoboken : John Wiley & Sons, Incorporated
Language
English
ISBN
9783527412648, 3527412646 (Trade Cloth)
Target Audience
Scholarly & Professional
Summary
Annotation
Description
Mode of access: World wide Web.
Copyright Not EvaluatedCopyright Not Evaluated
Technical Details
  • Access in Virgo Classic
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    a| 3527412646 (Trade Cloth) c| USD 205.00 Retail Price (Publisher) 9| Forthcoming
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    a| Biologically Inspired Computer Vision h| [electronic resource]: b| Fundamentals and Applications
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    b| Wiley-VCH [Imprint] a| Hoboken : b| John Wiley & Sons, Incorporated
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    a| 201511
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    a| Annotation b| As the stateoftheart imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with todays applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, nonweary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity.<br /> This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.
    521
      
      
    a| Scholarly & Professional b| John Wiley & Sons, Incorporated
    538
      
      
    a| Mode of access: World wide Web.
    655
      
    0
    a| Electronic books.
    690
      
      
    a| Image Processing x| Digital Techniques
    690
      
      
    a| Computer Vision
    690
      
      
    a| Biotechnology
    692
      
      
    a| Computers x| Image Processing
    692
      
      
    a| Computers x| Computer Vision & Pattern Recognition
    692
      
      
    a| Science x| Biotechnology
    700
    1
      
    a| Cristobal, Gabriel e| Editor 4| edt
    700
    1
      
    a| Keil, Matthias S. e| Editor 4| edt
    700
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    a| Perrinet, Laurent e| Editor 4| edt
    700
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    a| Herault, Jeanny e| Foreword by 4| aui
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    a| Wiley Online Library UBCM All Obooks
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    a| XX(7221564.1) w| WEB i| 7221564-1001 l| INTERNET m| UVA-LIB t| INTERNET
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