Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- For the Instructor
- Part I Preliminaries
- Part II Preprocessing
- Part III Image Understanding
- Part IV The 2D Image in a 3D World
- A Support Vector Machines
- B How to Differentiate a Function Containing a Kernel Operator
- C The Image File System (IFS) Software
- Author Index
- Subject Index
Part I - Preliminaries
Published online by Cambridge University Press: 25 October 2017
- Frontmatter
- Dedication
- Contents
- Preface
- For the Instructor
- Part I Preliminaries
- Part II Preprocessing
- Part III Image Understanding
- Part IV The 2D Image in a 3D World
- A Support Vector Machines
- B How to Differentiate a Function Containing a Kernel Operator
- C The Image File System (IFS) Software
- Author Index
- Subject Index
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.
- Type
- Chapter
- Information
- Fundamentals of Computer Vision , pp. 1 - 2Publisher: Cambridge University PressPrint publication year: 2017