OpenCV Computer Vision Application Programming Cookbook, 2nd Edition

ISBN: 1782161481

Language: English

Category: Uncategorized


Posted on 2019-02-10, by manhneovn.

Description

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English | August 26, 2014 | ISBN: 1782161481 | 350 pages | AZW3 | 3.99 Mb


Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library
About This BookMaster OpenCV, the open source library of the computer vision communityMaster fundamental concepts in computer vision and image processingLearn the important classes and functions of OpenCV with complete working examples applied on real imagesWho This Book Is For
OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer visionprogramming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.
What You Will LearnInstall and create a program using the OpenCV libraryProcess an image by manipulating its pixelsAnalyze an image using histogramsSegment images into homogenous regions and extract meaningful objectsApply image filters to enhance image contentExploit image geometry in order to relate different views of a pictured sceneCalibrate the camera from different image observationsDetect faces and people in images using machine learning techniquesIn Detail
OpenCV Computer Vision Application Programming Cookbook Second Edition is your guide to the development of computer vision applications.
The book shows you how to install and deploy the OpenCV library to write an effective computer vision application. Different techniques for image enhancement, pixel manipulation, and shape analysis will be presented. You will also learn how to process video from files or cameras and detect and track moving objects. You will also be introduced to recent approaches in machine learning and object classification.
This book is a comprehensive reference guide that exposes you to practical and fundamental computer vision concepts, illustrated by extensive examples.
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