What is Homography

In the field of computer vision, any two images of the same planar surface in space are related by a homography. This has many practical applications, such as image rectification, image registration, or camera motion-rotation and translation-between two images. Once camera resectioning has been done from an estimated homography matrix, this information may be used for navigation, or to insert models of 3D objects into an image or video, so that they are rendered with the correct perspective and appear to have been part of the original scene.

How you will benefit

(I) Insights, and validations about the following topics:

Chapter 1: Homography (computer vision)

Chapter 2: Affine transformation

Chapter 3: Transformation matrix

Chapter 4: Image stitching

Chapter 5: Line-plane intersection

Chapter 6: Fundamental matrix (computer vision)

Chapter 7: Camera resectioning

Chapter 8: Image rectification

Chapter 9: Camera matrix

Chapter 10: Camera auto-calibration

(II) Answering the public top questions about homography.

(III) Real world examples for the usage of homography in many fields.

Who this book is for

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Homography.