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
Format: pdf
Publisher: O'Reilly Media
Page: 571
ISBN: 0596516134, 9780596516130

Ben Brumfield has been so kind as to offer me an opportunity to write a guest post on his blog about my approach for transcribing large scanned document collections that combines crowdsourcing and computer vision. It is optimized and intended for real-time applications. For more details of OpenCV, I recommend this book :"Learning OpenCV Computer Vision With The OpenCV Library" which could be found on this link. We tried to learn about the basic concepts of computer vision, image analysis and had to go through an extensive set of frameworks to evaluate which fits our needs. OpenCV is an open source computer vision library developed in C and C++. Anyone interested in learning about the vision code library can find the online manual here: Learning OpenCV: Computer Vision with the OpenCVLibrary [Paperback]. Initially our project requirement was to detect/recognize human facial structure but We also took help from another project that uses OpenCV library to detect objects using 'Boosted Histograms' method, its called objectdet. 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. Here are a few typical examples of documents from AHPN with the segmentation algorithm I developed using OpenCV libraries. A Software Developer for the University of Texas Libraries. When Thanksgiving rolls around, OpenCV will be one of the gifts for which I'll be thankful.