OpenCV 3 Computer Vision Application Programming Cookbook, 3/e (Paperback)

Robert Laganiere

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商品描述

About This Book

  • Written to the latest, gold-standard specification of OpenCV 3
  • Master OpenCV, the open source library of the computer vision community
  • Master fundamental concepts in computer vision and image processing
  • Learn about the important classes and functions of OpenCV with complete working examples applied to real images

Who This Book Is For

OpenCV 3 Computer Vision Application Programming Cookbook Third Edition 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 who wish to be introduced to the concepts of computer vision programming. It can also be used as a companion book for university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.

What You Will Learn

  • Install and create a program using the OpenCV library
  • Process an image by manipulating its pixels
  • Analyze an image using histograms
  • Segment images into homogenous regions and extract meaningful objects
  • Apply image filters to enhance image content
  • Exploit the image geometry in order to relay different views of a pictured scene
  • Calibrate the camera from different image observations
  • Detect people and objects in images using machine learning techniques
  • Reconstruct a 3D scene from images

In Detail

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 you ll 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, you ll also get acquainted with recent approaches in machine learning and object classification.

Style and approach

This book will arm you with the basics you need to start writing world-aware applications right from a pixel level all the way through to processing video sequences.

商品描述(中文翻譯)

關於本書


  • 根據 OpenCV 3 的最新標準編寫

  • 掌握 OpenCV,這個計算機視覺社群的開源庫

  • 掌握計算機視覺和圖像處理的基本概念

  • 通過應用於真實圖像的完整實例,了解 OpenCV 的重要類和函數

本書適合對象

《OpenCV 3 計算機視覺應用程式設計食譜 第三版》適合想要學習如何使用 OpenCV 库構建計算機視覺應用程式的初級 C++ 程序員。它也適合希望了解計算機視覺編程概念的專業軟體開發人員。它還可以作為大學級計算機視覺課程的輔助教材。對於圖像處理和計算機視覺的研究生和研究人員來說,它是一本很好的參考書。

你將學到什麼


  • 安裝並創建使用 OpenCV 库的程式

  • 通過操作像素處理圖像

  • 使用直方圖分析圖像

  • 將圖像分割為同質區域並提取有意義的物體

  • 應用圖像濾鏡以增強圖像內容

  • 利用圖像幾何學來傳達圖像場景的不同視圖

  • 從不同的圖像觀察中校準相機

  • 使用機器學習技術在圖像中檢測人和物體

  • 從圖像重建三維場景

詳細內容

使用 OpenCV 讓應用程式具備視覺能力從未如此簡單。你可以教你的機器人如何跟隨你的貓,編寫一個正確識別 One Direction 成員的程式,甚至可以幫助你找到重新裝修的合適顏色。

《OpenCV 3 計算機視覺應用程式設計食譜 第三版》提供了對 OpenCV 库的完整介紹,並解釋了如何構建你的第一個計算機視覺程式。你將接觸到各種計算機視覺算法,並了解圖像和視頻分析的重要概念,這將使你能夠構建自己的計算機視覺應用程式。

本書將幫助你入門這個庫,並向你展示如何安裝和部署 OpenCV 库以編寫有效的計算機視覺應用程式,遵循良好的編程實踐。你將學習如何讀取和寫入圖像並操作其像素。將介紹不同的圖像增強和形狀分析技術。你將學習如何檢測特定的圖像特徵,如線條、圓形或角點。你將被介紹到數學形態學和圖像濾鏡的概念。

本書描述了最新的圖像匹配和物體識別方法,你將了解如何處理來自文件或攝像頭的視頻,以及如何檢測和跟踪移動物體。還將解釋實現相機校準和多視圖分析的技術。最後,你還將熟悉機器學習和物體分類的最新方法。

風格和方法

本書將使你從像素級別開始,從處理像素到處理視頻序列,為你提供開始編寫具有世界意識的應用程式所需的基礎知識。