Scanning 3D Full Human Bodies Using Kinects

By Jing Tong, Jin Zhou, Ligang Liu, Zhigeng Pan, Hao Yan. IEEE Transactions on Visualization and Computer Graphics, 2012

581 citations recorded by the source corpus.

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Evaluating and Improving the Depth Accuracy of Kinect for Windows v2 (2015, methodology): “[18] proposed a method using three Kinects simultaneously to scan 3D full human bodies.”
Shape Completion from a Single RGBD Image (2017, methodology): “For special types of objects with a well-de ned parametric model, such as human faces [14], [15] and bodies [16], [17], [18], template-based methods work well.”
VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction (2016, background): “Human scanning methods address this by a non-rigid compensation of posture differences [42, 43, 11], or use template-based pose alignment to fuse information from scans in various poses [15].”
A Survey of Applications and Human Motion Recognition with Microsoft Kinect (2015, background): “Tong and his colleagues demonstrated a system that can scan 3D full human body shapes by using multiple Kinect devices in a more convenient way.(122) Kinect has also been widely used in augmented reality games.”