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

Learning OpenCV: Computer Vision with the OpenCV Library


Learning.OpenCV.Computer.Vision.with.the.OpenCV.Library.pdf
ISBN: 0596516134,9780596516130 | 571 pages | 15 Mb


Download Learning OpenCV: Computer Vision with the OpenCV Library



Learning OpenCV: Computer Vision with the OpenCV Library Gary Bradski, Adrian Kaehler
Publisher: O'Reilly Media




Because computer vision and machine learning go hand-in- hand, OpenCV also contains a full, general-purpose Machine Learning Library (MLL). Provide two test cases to OpenCV is an acronym for Open Source Computer Vision Library. For more details of OpenCV, I recommend this book :"Learning OpenCV Computer Vision With The OpenCV Library" which could be found on this link. Learning OpenCV: Computer Vision with the OpenCV Library. You'll learn how to read and write image files, capture video, convert between color formats, and access pixel data - all through OpenCV interfaces. Hi everyone, As you know OpenCV is very useful library that let you do amazing and powerful things in Computer vision. Posted on 13 Jan 2009 11:14 by javawork in Software. Figuring that some of the readers might be interested in learning a little more about these frameworks I've put together a quick walk-through of how to connect up two of those tools that one so often sees attached to the Connecting the two of them allows you to create applications that not only use processing-heavy libraries like the OpenCV library for Computer Vision (more on that later) but also connect to and communicate with electronics out in the physical world. ň�类: 新闻 标签: 评论(11) Trackbacks (1) 发表评论 Trackback. This sublibrary is focused on statistical pattern recognition and clustering. The library is a It is free, open source software and provides developers an easy way to input, display and store video and images, and also provides over 500 routines for computer vision processing, image processing, face detection and tracking, machine learning, etc. With Learning OpenCV: Computer Vision with the OpenCV Library developers and hobbyists can learn how to build simple or sophisticated vision applications. For example, you could read the “Learning OpenCV” book and/or the “OpenCV 2 Cookbook” to learn the basics of OpenCV, then read this “ Mastering OpenCV” book for more advanced skills and project ideas! (From: http://blog.damiles.com/2012/12/mastering-opencv-with-practical-computer-vision-projects/). How to use Intel® IPP with the OpenCV2.1 as well as how to integrate Intel® IPP into OpenCV. ǿ�OpenCV的网站,发现这个月新出了一本书《Mastering OpenCV with Practical Computer Vision.