Step-by-step tutorials to solve common real-world computervision problems for desktop or mobile, from augmented reality andnumber plate recognition to face recognition and 3D headtracking Overview 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. In Detail Computer Vision is fast becoming an important technology and isused in Mars robots, national security systems, automatedfactories, driver-less cars, and medical image analysis to newforms of human-computer interaction. OpenCV is the most commonlibrary for computer vision, providing hundreds of complex and fastalgorithms. But it has a steep learning curve and limited in-depthtutorials. Mastering OpenCV with Practical Computer Vision Projects is theperfect book for developers with just basic OpenCV skills who wantto try practical computer vision projects, as well as the seasonedOpenCV experts who want to add more Computer Vision topics to theirskill set or gain more experience with OpenCV's new C++ interfacebefore migrating from the C API to the C++ API. Each chapter is a separate project including the necessarybackground knowledge, so try them all one-by-one or jump straightto the projects you're most interested in. Create working prototypes from this book including real-timemobile apps, Augmented Reality, 3D shape from video, or track faces& eyes, fluid wall using Kinect, number plate recognition andso on. Mastering OpenCV with Practical Computer Vision Projects givesyou rapid training in nine computer vision areas with usefulprojects.
