Book Image

Learning OpenCV 3 Computer Vision with Python (Update)

Book Image

Learning OpenCV 3 Computer Vision with Python (Update)

Overview of this book

Table of Contents (16 chapters)
Learning OpenCV 3 Computer Vision with Python Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
6
Retrieving Images and Searching Using Image Descriptors
Index

Project Cameo (face tracking and image manipulation)


OpenCV is often studied through a cookbook approach that covers a lot of algorithms but nothing about high-level application development. To an extent, this approach is understandable because OpenCV's potential applications are so diverse. OpenCV is used in a wide variety of applications: photo/video editors, motion-controlled games, a robot's AI, or psychology experiments where we log participants' eye movements. Across such different use cases, can we truly study a useful set of abstractions?

I believe we can and the sooner we start creating abstractions, the better. We will structure our study of OpenCV around a single application, but, at each step, we will design a component of this application to be extensible and reusable.

We will develop an interactive application that performs face tracking and image manipulations on camera input in real time. This type of application covers a broad range of OpenCV's functionality and challenges...