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Learning Opencv: Computer Vision in C++ with the Opencv Library

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Learning Opencv: Computer Vision in C++ with the Opencv Library Cover

 

Synopses & Reviews

Publisher Comments:

Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.

The second edition is updated to cover new features and changes in OpenCV 2.0, especially the C++ interface.

Computer vision is everywhere—in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book any developer or hobbyist needs to get started, with the help of hands-on exercises in each chapter.

This book includes:

  • A thorough introduction to OpenCV
  • Getting input from cameras
  • Transforming images
  • Segmenting images and shape matching
  • Pattern recognition, including face detection
  • Tracking and motion in 2 and 3 dimensions
  • 3D reconstruction from stereo vision
  • Machine learning algorithms

About the Author

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 Theoretical Physics from Columbia university in 1998. Adrian 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.

Product Details

ISBN:
9781449314651
Author:
Bradski, Gary
Publisher:
O'Reilly Media
Author:
Kaehler, Adrian
Subject:
Computer Vision
Subject:
Computers-Reference - General
Subject:
DSP;FFT;articial intelligence;camera;computer vision;image processing;open source;openCV;optics;robotics;transform;user interface;vision
Edition Description:
Second Edition
Publication Date:
20141131
Binding:
TRADE PAPER
Language:
English
Pages:
575
Dimensions:
9.19 x 7 in

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Artificial Intelligence » Robotics
Computers and Internet » Computer Languages » C
Computers and Internet » Computer Languages » C++
Computers and Internet » Computers Reference » General

Learning Opencv: Computer Vision in C++ with the Opencv Library New Trade Paper
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