Mastering OpenCV 3 - Second Edition

Mastering OpenCV 3 - Second Edition

资源信息 | Information

掌握OpenCV 3 - DanielLélisBaggio的第二版
英文| 2017年5月4日| ASIN:B01N7G0BKE | 250页| AZW3 | 4.82 MB
主要特征
为OpenCV 3更新,本书涵盖了新功能,可帮助您解锁OpenCV 3的全部潜力
由7位专家组成的讲座,每章都将探讨OpenCV的一个新方面,以帮助您制作惊人的计算机视觉感知应用程序
每章是从开始到结束的整个项目的教程,向您展示如何应用OpenCV来解决完整的问题
图书说明
随着我们变得越来越有能力处理各种数据,我们越来越依赖于视觉输入,我们可以用自驾车,面部识别甚至增强的现实应用程序和游戏来做。这一切都由电脑视觉技术公司提供支持。
本书将直接用于创建强大而独特的计算机视觉应用。每章都围绕一个中心项目进行构建,深入了解OpenCV的一个重要方面,如面部识别,图像目标跟踪,增强现实应用,3D可视化框架和机器学习。您将学习如何使AI记住并使用神经网络来帮助您的应用程序学习。
在本书的最后,您将在本书中创建各种工作原型,并将精通OpenCV3的新功能。
你会学到什么
执行基本的图像处理操作和漫画化图像
用Raspberry Pi本机构建OpenCV项目,并交替编译Raspberry Pi.text
扩展自然特征跟踪算法,以支持跟踪视频上的多个图像目标
使用OpenCV 3的新3D可视化框架来说明3D场景几何
使用支持向量机和人工神经网络创建自动车牌识别(ANPR)的应用程序
训练和预测模式识别算法来确定图像是否是数字板
使用POSIT作六头自由头姿势
使用深度学习训练面部识别数据库,并识别该数据库中的面孔
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Mastering OpenCV 3 - Second Edition by Daniel Lélis Baggio
English | 4 May 2017 | ASIN: B01N7G0BKE | 250 Pages | AZW3 | 4.82 MB
Key Features
Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3
Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications
Each chapter is a tutorial for an entire project from start to finish, showing you how to apply OpenCV to solve complete problems
Book Description
As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision.
This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn.
By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.
What you will learn
Execute basic image processing operations and cartoonify an image
Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text
Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video
Use OpenCV 3’s new 3D visualization framework to illustrate the 3D scene geometry
Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks
Train and predict pattern-recognition algorithms to decide whether an image is a number plate
Use POSIT for the six degrees of freedom head pose
Train a face recognition database using deep learning and recognize faces from that database
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