OpenCV 3 Blueprints 无水印pdf 0分下载

Paperback: 366 pages Publisher: Packt Publishing - ebooks Account (November 13, 2015) Language: English ISBN-10: 1784399752 ISBN-13: 978-1784399757 About This Book Build computer vision projects to capture high-quality image data, detect and track objects, process the actions of humans or animals, and much more Discover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3 Familiarize yourself with multiple approaches and theories wherever critical decisions need to be made Who This Book Is For This book is ideal for you if you aspire to build computer vision systems that are smarter, faster, and more practical than the competition. This is an advanced book, intended for those who already have some experience in setting up an OpenCV development environment and building applications with OpenCV. What You Will Learn Select and configure camera systems to see invisible light, fast motion, and distant objects Build a "camera trap", as used by nature photographers, and process photos to create beautiful effects Develop a facial expression recognition system with various feature extraction techniques and machine learning methods Build an Android panorama application using the OpenCV stitching module in C++, with NDK support Optimize your object detection model, make it rotation invariant, and apply scene-specific constraints to make it faster and more robust Create a person identification and registration system based on the biometric properties of that person, such as their fingerprint, iris, and face Fuse data from videos and gyroscopes to stabilize videos shot from your mobile phone and create hyperlapse videos In Detail This book makes use of OpenCV 3 to tackle increasingly challenging computer vision problems. You begin by taking a critical look at inputs, in order to decide which types of light, lenses, and image formats are best suited for a given purpose. You then consider the finer aspects of computational photography as you build an automated camera to assist nature photographers. You will gain