Chapter 14. Detection and Gestures

This chapter is going to be largely about one tool, OpenCV, and will be quite heavy on openFrameworks code. This is an important chapter because it is where you’ll learn how to turn the gestures and movements of a user, or other kinds of movement in an image, into meaningful input for an application. As anyone paying attention to the development of devices and the advancement of user interface and experience concepts over the past few years can tell you, this topic is one of the most interesting and important ideas in contemporary device design. Surfaces, tangible interaction devices, and free gesture interfaces have been incorporated in many different kinds of devices in the past few years.

Computer vision is a field of computing concerned with creating “seeing” applications by feeding an application a series of images, like a video, or a single image. Usually these images are analyzed for something in particular, such as looking for a light or for a face. Unlike human sight, a computer needs a good deal of instruction on what it should be looking for in an image. Computer vision techniques can be used to find fingertips, track gestures, find faces, or simply detect motion. Images are analyzed by looking for patterns in color values of the pixels. Those changes can be grouped into objects and tracked over multiple images, or they can be analyzed using statistical algorithms to determine how likely something is to represent a certain object like ...

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