We employ a deformable, deformable human body template mesh to specify different poses from its original pose to point cloud data. In this approach, we first build coarse template meshes and point clouds through compressed spectral embedding techniques that exploit the correspondence between human limbs. Based on these correspondences, we define the use of elastic energy functionals for nonrigid registration of targets and apply discrete gradient flows to reduce the difference between coarse control grids and point clouds. Thereafter, the template mesh can be controlled by using mean coordinates to control mesh deformation.

Automatic posing of a meshed human model using point clouds.pdf

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．