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http://dx.doi.org/10.9717/kmms.2019.22.10.1142

Marker-less Calibration of Multiple Kinect Devices for 3D Environment Reconstruction  

Lee, Suwon (Dept. of Computer Science and The Research Institute of Natural Science., Gyeongsang National University)
Publication Information
Abstract
Reconstruction of the three-dimensional (3D) environment is a key aspect of augmented reality and augmented virtuality, which utilize and incorporate a user's surroundings. Such reconstruction can be easily realized by employing a Kinect device. However, multiple Kinect devices are required for enhancing the reconstruction density and for spatial expansion. While employing multiple Kinect devices, they must be calibrated with respect to each other in advance, and a marker is often used for this purpose. However, a marker needs to be placed at each calibration, and the result of marker detection significantly affects the calibration accuracy. Therefore, a user-friendly, efficient, accurate, and marker-less method for calibrating multiple Kinect devices is proposed in this study. The proposed method includes a joint tracking algorithm for approximate calibration, and the obtained result is further refined by applying the iterative closest point algorithm. Experimental results indicate that the proposed method is a convenient alternative to conventional marker-based methods for calibrating multiple Kinect devices. Hence, the proposed method can be incorporated in various applications of augmented reality and augmented virtuality that require 3D environment reconstruction by employing multiple Kinect devices.
Keywords
Kinect Calibration; Marker-less Calibration; 3D Environment Reconstruction; Augmented Reality; Augmented Virtuality;
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