Multi-Level Analysis of Motor Actions as a Basis for Effective Coaching in Virtual Reality [chapter]

Felix Hülsmann, Cornelia Frank, Thomas Schack, Stefan Kopp, Mario Botsch
<span title="2015-11-03">2015</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kax3wwzwmncwhi472pxbzqsjja" style="color: black;">Advances in Intelligent Systems and Computing</a> </i> &nbsp;
Template model and scanned point cloud Posture fitting Shape fitting Joint correction Texture 32 simultaneously triggered DSLR cameras. The point cloud is computed by multi-view stereo reconstruction. 28 corresponding landmarks (red dots) are manually selected on template model and point cloud. The template model can be animated by its skeleton. By template fitting we transfer this attribute to the scan. Rigid registration alternating with inverse kinematics This step scales, rotates and
more &raquo; ... tes the point cloud and adapts the posture of the template model based on the selected landmarks. Non-linear optimization with three energy terms After the fitting procedure the joints of the skeleton are not in the correct position anymore. This is corrected by exploiting generalized barycentric coordinates. Landmarks Point-to-point Regularization
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-24560-7_27">doi:10.1007/978-3-319-24560-7_27</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ogqhubcl2neurfytiwaqaen66m">fatcat:ogqhubcl2neurfytiwaqaen66m</a> </span>
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