Gary Bradski, Adrian Kaehler, "Learning OpenCV: Computer Vision with the OpenCV Library"
O'Reilly Media, Inc. | 555 Pages | 2008-10-03 | ISBN: 0596516134 | English | PDF | 10.1 MB
O'Reilly Media, Inc. | 555 Pages | 2008-10-03 | ISBN: 0596516134 | English | PDF | 10.1 MB
Computer vision is everywhere -- in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It helps robot cars drive by themselves, stitches Google maps and Google Earth together, checks the pixels on your laptop's LCD screen, and makes sure the stitches in your shirt are OK. OpenCV provides an easy-to-use computer vision infrastructure along with a comprehensive library containing more than 500 functions that can run vision code in real time. With Learning OpenCV, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications. The book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Shape matching Pattern recognition, including face detection Segmenting images Tracking and motion in 2 and 3 dimensions Machine learning algorithms















