Learning OpenCV: Computer Vision with the OpenCV Library by Gary Bradski, Adrian Kaehler

Learning OpenCV: Computer Vision with the OpenCV Library Gary Bradski, Adrian Kaehler ebook
Page: 571
Format: pdf
ISBN: 0596516134, 9780596516130
Publisher: O'Reilly Media

Sarov, the secret Soviet city (still apparently closed to foreigners). OpenCV is an open source computer vision library developed in C and C++. Because computer vision and machine learning go hand-in- hand, OpenCV also contains a full, general-purpose Machine Learning Library (MLL). Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Gary Bradski and developed in large part by a team of Russian computer vision and optimization experts. In this episode we introduce opencv, a popular open source computer vision library created by Dr. This sublibrary is focused on statistical pattern recognition and clustering. Anyone interested in learning about the vision code library can find the online manual here: Learning OpenCV: Computer Vision with the OpenCVLibrary [Paperback]. Sinopse/Descrição: Learning OpenCV´ puts the reader in the middle of the field of computer vision. We will write programs that take images as input and manipulate them to meet the desired ends, and in the process learn about certain basic techniques associated with digital image processing. Description: Click to see full description. Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. It is optimized and intended for real-time applications. We interviewed Gary at his office at Willow Garage, where they are Learning OpenCV, a very thorough introduction from O'Reilly publishing, written by Dr.