学习OpenCV(中文版)
学习OpenCV(中文版)
Gary Bradski, Adrian Kaehler
于仕琪, 刘瑞祯 译
出版时间:2009年09月
透过本书,您将置身于迅速发展的计算机视觉领域。本书由自由开源OpenCV的发起人所著,介绍了计算机视觉,并通过实例演示了如何快速生成这样的应用——能使计算机“看到”并根据由此获取的数据做出决策。
计算机视觉无处不在,安全系统、制造检验系统、医学图像分析、无人机等都可以见到它的踪影。它与Google Map和Google Earth紧密结合,它检查LCD屏幕上的像素,它确保衬衫上的每个针脚都能完全缝合。OpenCV提供了一个简易好用的计算机视觉框架和一个丰富的库,后者包含500多个可实时运行视觉代码的函数。
透过各章提供的练习,任何一个开发人员或爱好者都可以迅速掌握这个框架的用法。本书特色主题如下:
● 透彻介绍OpenCV
● 从摄像机获取输入
● 图像的变换
● 图像的分割和形状的匹配
● 模式识别,包括人脸检测
● 二维和三维场景中的跟踪监测
● 根据立体视觉进行三维重构
● 机器学习算法
“让机器来看”是一个富有挑战但也很有意思的目标。不管是想构建简单的视觉应用,还是复杂的视觉应用,都离不开这本入门必备参考,拿起它,开始愉快的学习之旅吧!
“OpenCV库对从业人员而言非常有用,对初涉该领域的新手而言也不失为一个优秀工具。正如其广而告之的那样,它是一套高效的计算机视觉算法。”
——William T. Freeman,麻省理工学院计算机科学与人工智能实验室
“对计算机视觉领域内任何一个从业人员而言,《学习OpenCV(中文版)》是他们不可或缺的重要参考。”
——David Lowe
英属哥伦比亚大学计算机科学系教授
Gary Bradski博士是斯坦福大学人工智能实验室计算机科学系的顾问教授,同时也是Willow Garage的资深科学家,Willow Garage是一家机器人研究机构/孵化器。
Adrian Kaehler博士,Applied Minds公司的资深科学家,负责指导机器学习、统计建模、计算机视觉和机器人方面的研究。
书名:学习OpenCV(中文版)
译者:于仕琪, 刘瑞祯 译
国内出版社:清华大学出版社
出版时间:2009年09月
书号:978-7-302-20993-5
原版书出版商:O'Reilly Media
Gary Bradski
 
Dr. Gary Rost Bradski is a consulting professor in the CS department at the Stanford
University AI Lab, where he mentors robotics, machine learning, and computer vision
research. He is also senior scientist at Willow Garage (http://www.willowgarage.com), a
recently founded robotics research institute/incubator. He holds a B.S. in EECS from
UC Berkeley and a Ph.D. from Boston University. He has 20 years of industrial experience
applying machine learning and computer vision, spanning option-trading operations
at First Union National Bank, to computer vision at Intel Research, to machine
learning in Intel Manufacturing, and several startup companies in between.
Gary started the Open Source Computer Vision Library (OpenCV, http://sourceforge.net/
projects/opencvlibrary), which is used around the world in research, in government, and
commercially; the statistical Machine Learning Library (which comes with OpenCV);
and the Probabilistic Network Library (PNL). Th e vision libraries helped develop a notable
part of the commercial Intel Performance Primitives Library (IPP, http://tinyurl
.com/36ua5s). Gary also organized the vision team for Stanley, the Stanford robot that won
the DARPA Grand Challenge autonomous race across the desert for a $2M team prize,
and he helped found the Stanford AI Robotics project at Stanford (http://www.cs.stanford
.edu/group/stair) working with Professor Andrew Ng. Gary has more than 50 publications
and 13 issued patents with 18 pending. He lives in Palo Alto, CA, with his wife and
three daughters and bikes road or mountain as much as he can.
 
 
Adrian Kaehler
 
Dr. Adrian Kaehler is a senior scientist at Applied Minds Corporation. His current research
includes topics in machine learning, statistical modeling, computer vision, and
robotics. Adrian received his Ph.D. in Th eoretical Physics from Columbia University in
1998. He has since held positions at Intel Corporation and the Stanford University AI
Lab and was a member of the winning Stanley race team in the DARPA Grand Challenge.
He has a variety of published papers and patents in physics, electrical engineering,
computer science, and robotics.