iOS Application Development with OpenCV 3
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What this book covers

Chapter 1, Setting Up Software and Hardware, covers the installation of an iOS development environment and OpenCV. To test our setup, we build a minimal application, CoolPig, which manipulates colors in a picture of a pig. Finally, we consider some photographic techniques and accessories.

Chapter 2, Capturing, Storing, and Sharing Photos, deals with camera control, the Photos library, and social networks. We build a photography app, LightWork.

Chapter 3, Blending Images, adds new features to our LightWork app. We use simple arithmetic operations as well as more complex filters to blend pairs of images in real time.

Chapter 4, Detecting and Merging Faces of Mammals, is about detection, classification, and geometric transformation, with an emphasis on faces. We create an application called ManyMasks, which can align and blend the faces of humans, cats, and possibly other mammals.

Chapter 5, Classifying Coins and Commodities, deals with detection and classification but with an emphasis on objects that have distinctive colors or designs. Our final application, BeanCounter, can classify coins, beans, and other objects, depending on a configuration file and a set of training images.