Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data. Computer vision is everywhere -- in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It helps robot cars drive by themselves, stitches Google maps and Google Earth together, checks the pixels on your laptop's LCD screen, and makes sure the stitches in your shirt are OK. OpenCV provides an easy-to-use computer vision infrastructure along with a comprehensive library containing more than 500 functions that can run vision code in real time. With Learning OpenCV, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications. The book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Shape matching Pattern recognition, including face detection Segmenting images Tracking and motion in 2 and 3 dimensions Machine learning algorithms
Hands-on exercises at the end of each chapter help you absorb the concepts, and an appendix explains how to set up an OpenCV project in Visual Studio. OpenCV is written in performance optimized C/C++ code, runs on Windows, Linux, and Mac OS X, and is free for commercial and research use under a BSD license. Getting machines to see is a challenging but entertaining goal. If you're intrigued by the possibilities, Learning OpenCV gets you started onbuilding computer vision applications of your own.
Customer Reviews:
Avg. Customer Rating: 5.0 / 5.0
great book:
This has been a great book. Good examples, good overview, great documentation for OpenCV. Highly recommend it.
Guide to Open CV, Plus Real Introduction to Computer Vision:
This book is much more than a programming guide to the open source computer vision programming library, OpenCV. While it does provide solid examples of using all of the most important functions of this programming library, it also gives an excellent practical introduction to the methods and algorithms used in a variety of computer vision projects. In one of the final chapters it also provides a well-explained tutorial on the basic concepts of machine learning. The OpenCV library together with this excellent... more info
Awesome - wish I had this years ago:
After years of plodding through the discussion group and limited HTML based docs and puzzling out how to make OpenCV work finally a tell-all book that makes this worlds class tool accessible to all!
This book is GREAT !!!:
Very well written, excellent introduction, beautiful clear figures and illustrations, excellent balance between text, equations, figures, and source code, just the right level of intuitive v.s. technical v.s. mathematical explanation, great explanations of complex algorithmic concepts, with just the right touch of humor here and there to brighten up the dry technical talk, and apparently, a very clear and useful and well designed computer vision software package in that OpenCV, which the author also wrote,... more info
