Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. The Pragmatic Starter Kit, The Pragmatic Programmer, Pragmatic Programming, Pragmatic Bookshelf, PragProg and the linking g device are trademarks of The Pragmatic Programmers, LLC. Every precaution was taken in the preparation of this book. However, the publisher assumes no responsibility for errors or omissions, or for damages that may result from the use of information (including program listings) contained herein. Our Pragmatic courses, workshops, and other products can help you and your team create better software and have more fun. For more information, as well as the latest Pragmatic titles, please visit us at http://pragprog.com. The Android robot is reproduced from work created and shared by Google and is used according to terms described in the Creative Commons 3.0 Attribution License (http://creativecommons.org/licenses/by/3.0/us/legalcode). The unit circle image in Figure 43, from http://en.wikipedia.org/wiki/File:Unit_circle.svg, is used according to the terms described in the Creative Commons Attribution-ShareAlike license, located at http://creativecommons.org/licenses/by-sa/3.0/legalcode. Day skybox and night skybox courtesy of Jockum Skoglund, also known as hipshot, hipshot@zfight.com,http://www.zfight.com. The image of the trace capture button is created and shared by the Android Open Source Project and is used according to terms described in the Creative Commons 2.5 Attribution License.
Mastering OpenCV with Practical Computer Vision Projects 英文原版可编辑
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.
- Allows anyone with basic OpenCV experience to rapidly obtain skills in many computer vision topics, for research or commercial use
- Each chapter is a separate project covering a computer vision problem, written by a professional with proven experience on that topic
- All projects include a step-by-step tutorial and full source-code, using the C++ interface of OpenCV
