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Learning OpenCV: Computer Vision with the OpenCV Library

Learning OpenCV: Computer Vision with the OpenCV LibraryAuthors: Gary Bradski, Adrian Kaehler
Publisher: O'Reilly Media
Category: Book

List Price: $49.99
Buy New: $34.28
as of 2/8/2012 23:51 PST details
You Save: $15.71 (31%)



New (29) Used (27) from $22.29

Seller: new_books_today
Sales Rank: 31950

Languages: English (Unknown), English (Original Language), English (Published)
Media: Paperback
Edition: 1st
Pages: 555
Number Of Items: 1
Shipping Weight (lbs): 2
Dimensions (in): 9.2 x 7 x 1.2

ISBN: 0596516134
EAN: 9780596516130
ASIN: 0596516134

Publication Date: October 1, 2008
Availability: Usually ships in 1-2 business days

Features:
  • ISBN13: 9780596516130
  • Condition: New
  • Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!

Also Available In:

  • Kindle Edition - Learning OpenCV: Computer Vision with the OpenCV Library
  • Paperback - Learning OpenCV: Computer Vision with the OpenCV Library 1st (first) edition

Editorial Reviews:

Product Description

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."
-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology

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.

Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. 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.

Learning OpenCV will teach any developer or hobbyist to use the framework quickly 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

Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.



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