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# Paperback: 480 pages
# Publisher: O’Reilly Media, Inc. (October 3, 2008)
# Language: English
# ISBN-10: 0596516134
# ISBN-13: 978-0596516130

Product Description
Learning OpenCV puts you correct in the region of the apace expanding earth of organisation vision. Written by the creators of OpenCV, the widely utilised liberated open-source library, this aggregation introduces you to organisation exteroception and demonstrates how you crapper apace physique applications that enable computers to “see” and attain decisions supported on the data.

Computer exteroception is everyplace — in section systems, manufacturing scrutiny systems, scrutiny ikon analysis, Unmanned Aerial Vehicles, and more. It helps mechanism cars intend by themselves, stitches Google maps and Google Earth together, checks the pixels on your laptop’s LCD screen, and makes trusty the stitches in your shirt are OK.

OpenCV provides an easy-to-use organisation exteroception stock along with a broad accumulation containing more than 500 functions that crapper separate exteroception cipher in actual time. With Learning OpenCV, some developer or hobbyist crapper intend up and streaming with the support quickly, whether it’s to physique ultimate or worldly exteroception applications.

The aggregation includes:

* A complete launching to OpenCV
* Getting signaling from cameras
* Transforming images
* Shape matching
* Pattern recognition, including grappling detection
* Segmenting images
* Tracking and change in 2 and 3 dimensions
* Machine acquisition algorithms

Hands-on exercises at the modify of apiece chapter support you ingest the concepts, and an outgrowth explains how to ordered up an OpenCV send in Visual Studio. OpenCV is cursive in action optimized C/C++ code, runs on Windows, Linux, and Mac OS X, and is liberated for advertizement and investigate ingest low a BSD license.

Getting machines to wager is a hard but diverting goal. If you’re intrigued by the possibilities, Learning OpenCV gets you started on antiquity organisation exteroception applications of your own.

About the Author
Dr. metropolis Rost Bradski is a consulting academic in the CS division at businessman University AI Lab where he mentors robotics, organisation acquisition and organisation exteroception research. He is also Senior Scientist at Willow Garage http://www.willowgarage.com, a fresh supported robotics investigate institute/incubator. He has a BS honor in EECS from U.C. metropolis and a PhD from Beantown University. He has 20 eld of industrialized undergo applying organisation acquisition and organisation exteroception spanning choice trading dealings at First Union National Bank, to organisation exteroception at Intel Research to organisation acquisition in Intel Manufacturing and individual start companies in between. metropolis started the Open Source Computer Vision Library (OpenCV http://sourceforge.net/projects/opencvlibrary/ ), the statistical Machine Learning Library (MLL comes with OpenCV), and the Probabilistic Network Library (PNL). OpenCV is utilised around the concern in research, polity and commercially. The exteroception libraries helped amend a celebrity conception of the advertizement Intel action primitives accumulation (IPP http://tinyurl.com/36ua5s). metropolis also designed the exteroception aggroup for Stanley, the businessman mechanism that won the bureau Grand Challenge free vie crossways the inhospitable for a $2M aggroup accolade and helped institute the businessman AI Robotics send at businessman http://www.cs.stanford.edu/group/stair/ employed with Professor saint Ng. metropolis has over 50 publications and 13 issued patents with 18 pending. He lives in Palo Alto with his spouse and 3 daughters and bikes agency or mountains as such as he can.

Dr. physiologist Kaehler is a grownup individual at Applied Minds Corporation. His underway investigate includes topics in organisation learning, statistical modeling, and organisation vision. physiologist conventional his Ph.D. in Theoretical Physics from river Lincoln in 1998. physiologist has since held positions at Intel Corporation and the businessman University AI Lab, and was a member of the success discoverer vie aggroup in the bureau Grand Challenge. He has a difference of publicised writing and patents in physics, electrical engineering, organisation science, and robotics.

Learning OpenCV: Computer Vision with the OpenCV Library