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Learning OpenCV: Computer Vision with the OpenCV Library
Gary Bradski
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Description for Learning OpenCV: Computer Vision with the OpenCV Library
Paperback. Introduces readers to computer vision and demonstrates how they can quickly build applications that enable computers to "see" and make decisions based on the data. Num Pages: 575 pages, 1, black & white illustrations. BIC Classification: UMN; UYQV. Category: (XV) Technical / Manuals. Dimension: 232 x 179 x 30. Weight in Grams: 926.
"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 ... Read more
"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 ... Read more
Product Details
Format
Paperback
Publication date
2008
Publisher
O'Reilly Media
Condition
New
Number of Pages
575
Place of Publication
Sebastopol, United States
ISBN
9780596516130
SKU
V9780596516130
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Gary Bradski
Dr. Gary Rost Bradski is VP of Technology at Rexee Inc. a new startup applying machine learning to rich media on the web. He is also a consulting professor in the CS department at Stanford University, AI Lab where he mentors robotics, machine learning and computer vision research. He has a BS degree in EECS from U.C. Berkeley and a ... Read more
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