English version of learning opencv

Source: Internet
Author: User

 

 

 

Translator's preface

Computer Vision is a new discipline developed on the basis of image processing. It covers computer science and engineering, signal processing, physics, applied mathematics and statistics, neurophysiology and cognitive science, it has broad development prospects in the fields of manufacturing, inspection, document analysis, medical diagnosis, military, and other intelligent/independent applications.

With so many professional knowledge involved, computer vision is quite a bit of the sun. In fact, this means that it is a collection of academic research and engineering development. Purely researchers need an engineering development tool to verify their own ideas with good ideas or concepts. This development tool must be simple and easy to use; the lack of professional background knowledge makes it difficult for engineers to get involved in the computer vision field. While
Opencv
It provides a handy development tool or application platform for the combination of the two.

Opencv
As an open-source application platform, it reflects the open spirit of "a great deal of energy" to the greatest extent. There are a large number
Opencv
Learning resources can be found on the Internet. The translator is deeply grateful for the development of the Internet.
Opencv
. Therefore
Opencv
Today, it has quickly changed from a few people's interests to a systematic R & D platform with scientific research and commercial application values.

In China over the past few years, translators are delighted to see more and more students, researchers, and application developers begin to use in the field of computer vision research and engineering applications.
Opencv
And gradually
Opencv
As a loyal partner in the profession.

As
Opencv
Project initiator,
Gary bradski
And
Adrain kaebler
The 《
Learning opencv
A book on
Opencv
Many basic algorithm functions are described in detail, and the descriptions of function algorithms are also in place. In the course of reading this book, the reader not only has the feeling of "knowing its own nature", but also has the feeling of "knowing its own nature.

This book introduces the various algorithm ideas of computer vision, and uses a large number of program examples to inspire and guide readers.
"
Application
"
. In particular, the exercises after each chapter allow readers to further think about the content of each chapter, which is of great benefit to readers in understanding visual algorithm ideas and expanding their horizons. The most effective judgment on the true value of this book is actually from a broad audience of readers.

The process of translating this book is not only a process of re-learning and thinking for each translator, but also a process of thinking for the author to ask, analyze, and solve the problem. Although the translation process of this book is not short-lived, the translator does not feel too hard because it is generally on the road of translation, we understand the Smart thinking presented by the author in this book and the enthusiastic attention from the masses of colleagues on the progress of this book. In other words, the translator is not alone.

People involved in the translation include Xu Mingliang, Sun Tao, Chai Shushan, Wu Jia, Zhou lei, Luo Ming, Wu siyuan, Ma changzheng, and Chen ruiqing. Thanks for their hard work. The translation of this book is not so much a work of several people, rather it is
Opencv
The crystallization of the collective work of fans. The translator thanked Tsinghua University Press for giving us such a rare opportunity. In addition, I would like to express my special thanks to Ms. Wen kaiqi for her guidance and work in the fields of interpreter determination, translation quality, and progress control.

Liu Rui

2009
Year
9
Month in Beijing

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