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1. Introduction
The processes of digital image processing such as detection and recognition are similar to those of human vision. To enhance the effectiveness of digital image processing, numerous approaches focus on 3D image processing methodology especially depth map scan and related topics. To make closer interaction between human and device, the game console Wii released by Nintendo in 2006 had raised the studies on detections of pose, gesture, action and motion, and related topics. Further on 3D detection, the Kinect released by Microsoft is a motion sensing device as a game console for Xbox 360 and Windows PCs. By the Kinect, users just need to swing their hands, legs, or body and then can interactively control game role players. The new idea inspires numerous players and researchers to invest in 3D scanning, motion detection and interaction and related approaches.
The first success of Kinect is its depth map scan which let users easily determine the depth of every object from a screen. From the technical documents provided from the PrimeSense Ltd. [1], in the light coding solutions, the Kinect generates near-IR light to code the scene and then uses a standard off-the-shelf CMOS image sensor to read the coded light back from the scene. In which, the near-IR emitter diverges an infrared beam through a diverging lens and then the beam is projected on the surfaces in the form of uniform squares scattered as formed structured light planes. Then, the monochrome CMOS image sensor detects and recognizes the structured light map and then results in the depth map. Since near-infrared light is invisible and unaffected by ambient light, to diverge near-infrared light to detect distance is very suitable.
Besides, many similar studies [2–7] on structured light coding are proposed. In [2], Albitar et al. proposed a monochromatic pattern for a robust structured light coding which allows a high error...