OpenCV Essentials : Acquire, Process, and Analyze Visual Content to Build Full-fledged Imaging Applications Using Opencv

Acquire, process, and analyze visual content to build full-fledged imaging applications using OpenCV

About This Book

• Set up OpenCV, its Python bindings, and optional Kinect drivers on Windows, Mac or Ubuntu
• Create an application that tracks and manipulates faces
• Identify face regions using normal color images and depth images

Who This Book Is For

This book is intended for C++ developers who want to learn how to implement the main techniques of OpenCV and get started with it quickly. Working experience with computer vision / image processing is expected.

In Detail

OpenCV, arguably the most widely used computer vision library, includes hundreds of ready-to-use imaging and vision functions used in both academia and industry. It mainly focuses on real-time image processing. As cameras get cheaper and imaging features grow in demand, the range of applications using OpenCV increases significantly, both for desktop and mobile platforms.

The book provides an example-based tour of OpenCV's main modules and algorithms, including the latest available in version 3.0. Starting with the setup and description of the library, this book teaches you how to add graphical user interface capabilities to OpenCV programs. Further, you will learn about the essential techniques such as image processing, image segmentation, object detection, and motion, which will help you process and analyze images better. You will also learn how to extract 2D features from images and how to take advantage of machine learning. By the end of this book, you will completely understand how to put those computer vision techniques into practice.

Oscar Deniz Suarez

Oscar Deniz Suarez is the author of more than 50 refereed papers in journals and conferences. His research interests are mainly focused on computer vision and pattern recognition. He received the runner-up award for the best PhD work on computer vision and pattern recognition by AERFAI and the Image File and Reformatting Software challenge award by InnoCentive Inc. He has been a national finalist at the 2009 Cor Baayen awards. His work is being used by cutting-edge companies such as Existor, GLIIF, TapMedia, E-Twenty, and others and has also been added to OpenCV. Currently, he works as an associate professor at the University of Castilla-La Mancha and contributes to Visilabs. He is a senior member of IEEE and is affiliated with AAAI, SIANI, CEA-IFAC, AEPIA, AERFAI-IAPR, and The Computer Vision Foundation. He serves as an academic editor for the journal PLOS ONE. He has been a visiting researcher at Carnegie Mellon University, Pennsylvania, USA; Imperial College, London, UK; and Leica Biosystems, Ireland. He has co-authored a book on OpenCV programming for mobile devices.