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OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition
Cód:
491_9781786469717
De: R$ 0,00Por: R$ 449,11ou X de
Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3Key Features:Written to the latest, gold-standard specification of OpenCV 3Master OpenCV, the open source library of the computer vision communityMaster fundamental concepts in computer vision and image processingLearn about the important classes and functions of OpenCV with complete working examples applied to real imagesBook Description:Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration.OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications.This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering.The most recent methods for image matching and object recognition are described, and youll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, youll also get acquainted with recent approaches in machine learning and object c
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