 O'Reilly (9-2008) | PDF | 555 pages | 0596516134 | 10.7Mb Learning OpenCV: Computer Vision with the OpenCV Library /by Gary Bradski(Author), Adrian Kaehler (Author).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. download link:
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