Mastering OpenCV with Practical Computer Vision Projects

by Daniel Lélis Baggio, Shervin Emami, David Millan Escriva

This is the definitive advanced tutorial for OpenCV, designed for those with basic C++ skills. The computer vision projects are divided into easily assimilated chapters with an emphasis on practical involvement for an easier learning curve. Overview In Detail Computer Vision is fast becoming an important technology and is used in Mars robots, national security systems, automated factories, driver-less cars, and medical image analysis to new forms of human-computer interaction. OpenCV is the most common library for computer vision, providing hundreds of complex and fast algorithms. But it has a steep learning curve and limited in-depth tutorials. Mastering OpenCV with Practical Computer Vision Projects is the perfect book for developers with just basic OpenCV skills who want to try practical computer vision projects, as well as the seasoned OpenCV experts who want to add more Computer Vision topics to their skill set or gain more experience with OpenCV's new C++ interface before migrating from the C API to the C++ API. Each chapter is a separate project including the necessary background knowledge, so try them all one-by-one or jump straight to the projects you're most interested in. Create working prototypes from this book including real-time mobile apps, Augmented Reality, 3D shape from video, or track faces & eyes, fluid wall using Kinect, number plate recognition and so on. Mastering OpenCV with Practical Computer Vision Projects gives you rapid training in nine computer vision areas with useful projects. What you will learn from this book Approach Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots. Who this book is written for You should have basic OpenCV and C/C++ programming experience before reading this book, as it is aimed at Computer Science graduates, researchers, and computer vision experts widening their expertise.

318 pages, Paperback

First published November 27, 2012

Reviews

[Abhijeet Kislay · Rating 4 out of 5]

I was looking for a robust implementation of Automatic Number Plate Recognition in OpenCV and this book proved to be a lifesaver. It has covered every aspect neatly and in great depth. Recommended to anyone who want to dive in and face real challenges in Computer Vision

[James Schultz · Rating 4 out of 5]

This book features some great tutorials for developing advanced OpenCV projects. However, the writing style and overall quality can vary quite drastically from chapter to chapter (probably because written by different co-authors?)...

[Rahul · Rating 4 out of 5]

Its a really good book if you want to get started with developing real-world applications with OpenCV. It also has examples with Kinect, iOS. The source code is available on website and github.