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Fundamentals of Computer Vision

Fundamentals of Computer Vision

$115.00 (P)

  • Date Published: November 2017
  • availability: In stock
  • format: Hardback
  • isbn: 9781107184886

$ 115.00 (P)

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About the Authors
  • 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.

    • Provides a complete mathematical and algorithmic toolbox to develop software which can analyze images and produce decisions about their content
    • Demonstrates techniques on a diverse set of examples for a wide variety of applications
    • Includes homework exercises and suggested projects with every chapter
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    Reviews & endorsements

    Advance praise: '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, the University of Tennessee

    Advance praise: '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

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    Product details

    • Date Published: November 2017
    • format: Hardback
    • isbn: 9781107184886
    • length: 390 pages
    • dimensions: 260 x 182 x 22 mm
    • weight: 0.96kg
    • availability: In stock
  • Table of Contents

    Part I. Preliminaries:
    1. Computer vision, some definitions, and some history
    2. Writing programs to process images
    3. Review of mathematical principles
    4. Images – representation and creation
    Part II. Preprocessing:
    5. Kernel operators
    6. Noise removal
    7. Mathematical morphology
    Part III. Image Understanding:
    8. Segmentation
    9. Parametric transforms
    10. Representing and matching shape
    11. Representing and matching scenes
    Part IV. The 2-D Image in a 3-D World:
    12. Relating to three dimensions
    13. Developing computer vision algorithms.

  • Resources for

    Fundamentals of Computer Vision

    Wesley E. Snyder, Hairong Qi

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  • Authors

    Wesley E. Snyder, North Carolina State University
    Wesley E. Snyder is Professor Emeritus of Electrical and Computer Engineering at North Carolina State University. He was previously a professor at the Bowman Gray School of Medicine and worked at the GE Corporate Research and Development Center, NASA Langley Research Center, and the West German Air and Space Agency (DLR). He has published 179 research papers and was chosen as an Outstanding Engineering Educator in North Carolina in 1993. He was made fellow of the Institute of Electrical and Electronics Engineers (IEEE), Gladden Fellow (University of Western Australia), and Fellow of the American Institute of Medical and Biomedical Engineering.

    Hairong Qi, University of Tennessee
    Hairong Qi is the Gonzalez Family Professor of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. Her research interests include collaborative signal and image processing, hyperspectral imaging, and bioinformatics. She is the recipient of a National Science Foundation CAREER Award, numerous best paper awards at international conferences, and was awarded the highest impact paper from the Institute of Electrical and Electronics Engineers (IEEE) Geoscience and Remote Sensing Society in 2012.

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