Exemplar-based statistical model for semantic parametric design of human body

  • Chu C
  • Tsai Y
  • Wang C
 et al. 
  • 1

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

This paper presents an exemplar-based method to provide intuitive way for users to generate 3D human body shape from semantic parameters. In our approach, human models and their semantic parameters are correlated as a single linear systemof equations.Whenusers input anew set of semantic parameters, a new 3D human body will be synthesized from the exemplar human bodies in the database. This approach involves simpler computation compared to non-linear methods while maintaining quality outputs. A semantic parametric design in interactive speed can be implemented easily. Furthermore, a newmethod is developed to quickly predict whether the parameter values is reasonable or not, with the training models in the human body database. The reconstructed human bodies in this way will all have the same topology (i.e., mesh connectivity), which facilitates the freeformdesign automation of human- centric products.

Author-supplied keywords

  • Parametric design,3D human body, Exemplar-based St

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Chih-Hsing Chu

  • Ya-Tien Tsai

  • Charlie C L Wang

  • Tsz-Ho Kwok

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free