This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Wurong Yu Articles by Bugao Xu Search for Related Content Social Bookmarking                         What's this?

Surface Reconstruction from Two-view Body Scanner Data

Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, U.S.A.

Bugao Xu

Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, U.S.A., bxu{at}mail.utexas.edu

We propose an effective algorithm based on subdivision surface representation for reconstruction of the human body from the data of a two-view body scanner. In the case that the scan data can be grouped into front and back views, we firstly rearrange the data by resampling in the frontal projection plane, and triangulate each set of data points followed by zippering the front and back contours with an Add—Delete method to create an initial mesh. Then the initial mesh is simplified to produce a control mesh as the base of a subdivision surface. Finally, the control mesh is optimized by fitting its subdivision surface to the original data, and, accordingly, a piecewise smooth body model is reconstructed. Experimental results show that the algorithm is capable of gap and hole filling, is robust to noise, and is computationally efficient.

Key Words: surface reconstruction • body scanner • human body modeling • subdivision surfaces

Textile Research Journal, Vol. 78, No. 5, 457-466 (2008)
DOI: 10.1177/0040517507087853


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?