Skip to main content Accessibility help
×
  1. Home
  2. Books
  3. Fundamentals of Computer Vision
  • Cited by 10
      • Show more authors
      • You may already have access via personal or institutional login
    • Select format
    • Publisher:
      Cambridge University Press
      Publication date:
      October 2017
      September 2017
      ISBN:
      9781316882641
      9781107184886
      DOI:
      https://doi.org/10.1017/9781316882641
      Dimensions:
      (253 x 177 mm)
      Weight & Pages:
      0.96kg, 390 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Engineering, Computer Science, Computer Graphics, Image Processing and Robotics, Image Processing and Machine Vision
    You may already have access via personal or institutional login
    • Selected: Digital
    Add to cart View cart Buy from Cambridge.org
    Subjects:
    Engineering, Computer Science, Computer Graphics, Image Processing and Robotics, Image Processing and Machine Vision
    Information

    Book description

    Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications.

    Reviews

    'This new textbook by Snyder and Qi covers fundamental topics in computer vision. The authors do an outstanding job of discussing the subject. I like the way that required mathematical background is presented in the context of computer vision, thus reducing prerequisites on the part of the reader to basic calculus and introductory computer programming. The book is ideally suited for a first course in computer vision at the senior or first-year graduate level in a technical discipline, such as computer science, engineering, physics, or mathematics. I commend the authors for their style of presentation and for keeping a sharp focus on fundamentals.'

    Rafael C. Gonzalez - Distinguished-Service Professor Emeritus, Electrical Engineering and Computer Science, University of Tennessee

    'Written with depth and clarity, this book introduces a variety of fundamentals needed to participate in computer vision research. Not only does it focus on mathematical fundamentals, but it shows all with well-motivated, concrete examples and applications. I believe vision students and researchers will find this book valuable. I look forward to teaching from it.'

    Tianfu Wu - North Carolina State University

    Refine List

    Actions for selected content:

    Select all | Deselect all
    • View selected items
    • Export citations
    • Download PDF (zip)
    • Save to Kindle
    • Save to Dropbox
    • Save to Google Drive

    Save Search

    You can save your searches here and later view and run them again in "My saved searches".

    Please provide a title, maximum of 40 characters.
    Cancel
    ×

    Contents

    Contents
    References

    Metrics

    Altmetric attention score

    Full text views

    Total number of HTML views: 0
    Total number of PDF views: 0 *
    Loading metrics...

    Book summary page views

    Total views: 0 *
    Loading metrics...

    * Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

    Usage data cannot currently be displayed.

    Accessibility standard: Unknown

    Why this information is here

    This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.

    Accessibility Information

    Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.