Hacking the Kinect

Abstract

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Mobile markerless augmented reality and its application in forensic medicine

“…Next, the aim is to generate two surfaces-source A and target B as registration input. B is defined as the skin mesh generated via segmentation from CT data and A is produced as follows: The Kinect depth data are converted to 3D world coordinates according to the pinhole camera model and based on [25]. A straightforward triangulation [23] is enhanced with the following simple procedures to allow a fully automatic real-time segmentation of depth data: Let v ij denote the 3D coordinates (relative to the camera coordinates) of the pixel at index (i, j) ∈ I .…”

Soil surface roughness: comparing old and new measuring methods and application in a soil erosion model

“…In 2010 a new depth-sensing technology was developed under the name Kinect (Kramer et al, 2012). It was originally intended for stationary indoor use in combination with a gaming console.…”

“…It was originally intended for stationary indoor use in combination with a gaming console. The technology has proven to be quite accurate in depth estimates and has become of interest for geophysical research (Kramer et al, 2012;Mankoff and Russo, 2012). Subsequently, similar sensors started to be developed parallel to the development of the Kinect.…”

Blending real with virtual in 3DLife

“…In order to achieve real-time reconstruction of users over the web, the Kinect sensor's depth and color streams are used to generate a colored 3D point cloud as described in [6], which can then be placed inside the virtual scene. The Kinect depth stream is represented as a 3-channel color video, obtained through the ZigFu browser plugin, where the Least Significant Byte (LSB) is encoded in the red channel …”