Beginning Microsoft Kinect for Windows SDK 2.0: Motion and Depth Sensing for Natural User Interfaces

Develop applications involving gesture and speech recognition, scanning of objects in three dimensions, and body tracking. Create motion-sensing applications for entertainment and practical uses, including for commercial products and industrial applications. Microsoft Kinect 2 brings a drastically improved camera resolution, wider field of view, and additional brand new features that are described in this book. Beginning Microsoft Kinect for Windows SDK 2.0 is dense with code and examples to ensure that you understand how to build Kinect applications that can be used in the real world. Techniques and ideas are presented to facilitate incorporation of the Kinect with other technologies. This book will prove useful to newcomers interested in learning about Kinect development, to engineers looking to integrate the Kinect 2 into their projects, and to Kinect for Windows v1 developers attempting to figure out how to use the Kinect 2's new features in their applications.Covers the fundamentals of developing applications with the Kinect 2 Demonstrates integrating the Kinect 2 with WPF, Windows Store, Unity3D apps, as well as with technologies such as Kinect Fusion and OpenCV Provides sample projects helping you get accustomed to developing with the Kinect 2 What You Will LearnSet up the Kinect 2 and a workspace for Kinect application development Access audio, color, infrared, and skeletal data streams from the Kinect Perform gesture and speech recognition Perform computer vision manipulations on the image data streams Use the Kinect 2 for Windows Store apps and Unity3D applicationsTake advantage of Kinect Fusion (3D object mapping technology) and Kinect Ripple (Kinect projector infotainment system)Who This Book Is For Beginning Microsoft Kinect for Windows SDK 2.0 is geared toward developers who want to include the simple but powerful Kinect technology into their projects. The Kinect 2 is almost as good or even comparable to complex motion-sensing solutions used by scientists and engineers and thus readers will be able to get a taste of how natural user interface (NUI) and computer vision applications are developed in industry. Most readers will find themselves as either amateur developers and hobbyists learning to build NUI applications, or professional developers looking to build a commercial NUI application without having to invest heavily into complicated hardware systems.