Parallelism in Low-Level Computer Vision — A Review

  • Vipin Chaudhary
  • J. K. Aggarwal
Part of the Ettore Majorana International Science Series book series (EMISS, volume 40)


In this paper we review various parallel algorithms and architectures used in Computer Vision. The problem of visual recognition is divided into three conceptual levels — low-level, intermediate-level and high-level. There are few conceptual difficulties in parallelizing low-level vision and most of them have been parallelized. However, not much work has been done in parallelizing intermediate and high-level vision. We present parallel algorithms for low-level vision.


Parallel Algorithm IEEE Proc Systolic Array Array Processor Hough Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Plenum Press, New York 1989

Authors and Affiliations

  • Vipin Chaudhary
    • 1
  • J. K. Aggarwal
    • 1
  1. 1.Computer and Vision Research CenterThe University of Texas at AustinAustinUSA

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