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內容簡介

學習0penCV》將你置身于迅速發展的計算機視覺領域。本書作者是免費開源0penCV的發起人，這本書為你介紹了計算機視覺，例證了如何迅速建立使計算機能"看"的應用程序，以及如何基于計算機獲取的數據作出決策。

計算機視覺幾乎隨處可見：安全系統、管理檢驗系統、醫學圖像分析、無人機等。它將Google地圖和Google地球結合在一起，在LCD屏幕上核對像素，確保襯衫上的每一個針腳都縫合。OpenCV提供了一個簡易實用的計算機視覺框架以及一個含有超過500種可以實時運行視覺代碼的函數的綜合庫。《學習OpenCV》在每一章里教授任何OpenCV的開發者或熱愛者如何在這些實戰經驗的幫助下迅速掌握該軟件。這本書包括了如下內容：

對0penCV詳盡的介紹

從照相機中導入圖片

轉換圖像

分割圖像和形狀匹配

模式識別，包括人臉檢測

兩到三個計量單位間的跟蹤和運動

立體視覺中的3D再現

機器學習算法

使機器能看見是一個具有挑戰卻又充滿樂趣的目標。無論你是想建立一個簡單的還是復雜的視覺應用程序，《學習OpenCV》都是你入門的必備教材。

編輯推薦

"這本寶庫對專業人員來講非常有用，對初涉這個領域的人們也是個絕好的工具。像其宣傳的那樣，它是一組計算機視覺算法。"

——William T.Freeman.

麻省理工學院計算機科學與人工智能實驗室"《學習0penCV》即將占據每從從事計算機視覺領域的人的書架上顯著的一處。"

——David Lowe，英屬哥

作者簡介

倫比亞大學計算機科學教授Gary Rost BradSki博士，斯坦福大學人工智能實驗室的顧問教授，也是Willow Garage公司機器；人學研究協會的博學科學家。Ad rian Kaehler博士，Applied Mind S公司的博學科學家，從事機器學習、統計建模、計算機視覺和機器人學方面的研究。

在線預覽

Chapter 1 oVerviw

What Is OpenCV?

OpenCV [OpenCV] is an open source (see opensource.org) computer vision library available from SourceForge.net/projects/opencvlibrary. The library is written in Cand C++ and runs under Linux, Windows and Mac OS X. There is active development on interfaces for Python, Ruby, Matlab, and other languages.

OpenCV was designed for computational efficiency and with a strong focus on realtime applications. OpenCV is written in optimized C and can take advantage of mul ticore processors. If you desire further automatic optimization on Intel architectures [Intel], you can buy Intel's Integrated Performance Primitives (IPP) libraries [IPP], which consist of low-level optimized routines in many different algorithmic areas. OpenCV automatically uses the appropriate IPP library at runtime if that library is installed.

One of OpenCV's goals is to provide a simple-to-use computer vision infrastructure that helps people build fairly sophisticated vision applicatio'ns quickly. The OpenCV library contains over 500 functions that span many areas in vision。 including factory product inspection, medical imaging, security, user interface, camera calibration, stereo vision, and robotics. Because computer vision and machine learning often go hand-inhand, OpenCV also contains a full, general-purpose Machine Learning Library (MLL).This sublibrary is focused on statistical pattern recognition and clustering. The MLL is highly useful for the vision tasks that are at the core of OpenCV's mission, but it is gen eral enough to be used for any machine learning problem.

Who Uses OpenCV?

Most computer scientists and practical programmers are aware of some facet of the role that computer vision plays. But few people are aware of all the ways in which computer vision is used. For example, most people are somewhat aware of its use in surveillance,and many also know that it is increasingly being used for images and yideo on the Web. A few have seen some use of computer vision in game interfaces.

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