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Real - time table plane detection using accelerometer information and organized point cloud data from kinect sensor

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In this paper, the authors propose a table plane detection method using information coming from a Microsoft Kinect sensor. The contribution of the paper is three-fold. First, for plane detection step, the dedicated down-sampling algorithms to original point cloud thereby representing it as the organized point cloud structure in are applied to get real-time computation. Second, the acceleration information provided by the Kinect sensor is employed to detect the table plane among all detected planes. Finally, three different measures for the evaluation of the table plane detector are defined.
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Real - time table plane detection using accelerometer information and organized point cloud data from kinect sensor

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