Hands-on project book in which Samarth Brahmbhatt shows you how to get the best results from OpenCV, the open-source computer vision library. Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality.
Author: Samarth Brahmbhatt
Date: November 19, 2013
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Sams Teach Yourself Objective-C in 24 Hours
Author: Jesse Feiler
Aimed at: Beginners who already program another language, preferably C or C++
Cons: Muddled, requires you to know C before your start
Reviewed by:Harry Fairhead
Objective C is important because it is the main way t [ ... ]
Developing Quality Technical Information
Authors: Michelle Carey, Moira McFadden Lanyi, Deidre Longo, Eric Radinski, Shannon Rouiller, Elizabeth Wilde
Publisher: IBM Press
Audience: Those who produce technical documentation
Reviewer: Kay Ewbank
[ ... ]