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Part I - Preliminaries

Published online by Cambridge University Press:  25 October 2017

Wesley E. Snyder
Affiliation:
North Carolina State University
Hairong Qi
Affiliation:
University of Tennessee
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Summary

In this part of the book, we start getting ready to do Computer Vision (CV). First, we briefly introduce biological vision and the biological motivation of Computer Vision. This is followed by a chapter describing how to write computer programs to process images. We then provide a chapter of math. The emphasis in that chapter is linear algebra, as that is the mathematical discipline most used in CV. We also touch briefly on probability and function minimization.

After we have the human prepared by taking the prerequisites and reviewing the math, we need for that human to know what an image actually is. It turns out that the word “image” has a number of different meanings in different contexts, and Chapter 4 discusses them.

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Publisher: Cambridge University Press
Print publication year: 2017

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  • Preliminaries
  • Wesley E. Snyder, North Carolina State University, Hairong Qi, University of Tennessee
  • Book: Fundamentals of Computer Vision
  • Online publication: 25 October 2017
  • Chapter DOI: https://doi.org/10.1017/9781316882641.003
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  • Preliminaries
  • Wesley E. Snyder, North Carolina State University, Hairong Qi, University of Tennessee
  • Book: Fundamentals of Computer Vision
  • Online publication: 25 October 2017
  • Chapter DOI: https://doi.org/10.1017/9781316882641.003
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Preliminaries
  • Wesley E. Snyder, North Carolina State University, Hairong Qi, University of Tennessee
  • Book: Fundamentals of Computer Vision
  • Online publication: 25 October 2017
  • Chapter DOI: https://doi.org/10.1017/9781316882641.003
Available formats
×