• Fulltext

       

        Click here to view fulltext PDF


      Permanent link:
      https://www.ias.ac.in/article/fulltext/sadh/018/02/0149-0158

    • Keywords

       

      Computer vision; vision engineering; biological vision processes; image analysis

    • Abstract

       

      The goal of computer vision is to derive descriptive information about a scene by computer analysis of images of the scene. Vision algorithms can often serve as computational models for biological visual processes, and they also have many practical uses; but this paper treats computer vision as a subject in its own right. Vision problems are often ill-defined, ill-posed, or computationally intractable; nevertheless, successes have been achieved in many specific areas — document processing and industrial inspection, for example. We suggest that by limiting the domain of application, carefully choosing the task, using redundant data (multi-sensor, multi-frame), and applying adequate computing power, useful solutions to many vision problems can be obtained. Methods of designing such solutions are the subject of the emerging discipline ofvision engineering. With projected advances in sensor and computing technologies, the domains of applicability and ranges of problems that can be solved will gradually expand.

    • Author Affiliations

       

      Rama Chellappa1 2 Azriel Rosenfeld2

      1. Department of Electrical Engineering, University of Maryland, College Park, Maryland - 20742, USA
      2. Center for Automation Research, University of Maryland, College Park, Maryland - 20742, USA
    • Dates

       
  • Sadhana | News

    • Editorial Note on Continuous Article Publication

      Posted on July 25, 2019

      Click here for Editorial Note on CAP Mode

© 2021-2022 Indian Academy of Sciences, Bengaluru.