书名：学习OpenCV（中文版）

作者：Gary Bradski, Adrian Kaehler 著

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

 

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.

 

 

 

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.