Abstract

This chapter uses the camera virtualization approach to offer a unified treatment of various structured light depth cameras. Readers will learn how these cameras can differ in characteristics like number of cameras, baseline, position of the projector, and projected patterns. We also present fundamentals of illuminator design, the most critical component of structured light depth cameras, using the concept of uniqueness, and explore its implementation by wavelength, range, time, and space multiplexing. Various non-idealities of structured light depth cameras are also explained. In the last part of the chapter, theoretical ideas are applied to an analysis of the most popular structured light depth camera products in the market, like the Primesense Camera used in the Kinect v1 and other more recent products, such as the Intel RealSense F200 and R200.

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