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Evaluating the Automated Alignment of 3D Human Body Scans


Conference Paper


The statistical analysis of large corpora of human body scans requires that these scans be in alignment, either for a small set of key landmarks or densely for all the vertices in the scan. Existing techniques tend to rely on hand-placed landmarks or algorithms that extract landmarks from scans. The former is time consuming and subjective while the latter is error prone. Here we show that a model-based approach can align meshes automatically, producing alignment accuracy similar to that of previous methods that rely on many landmarks. Specifically, we align a low-resolution, artist-created template body mesh to many high-resolution laser scans. Our alignment procedure employs a robust iterative closest point method with a regularization that promotes smooth and locally rigid deformation of the template mesh. We evaluate our approach on 50 female body models from the CAESAR dataset that vary significantly in body shape. To make the method fully automatic, we define simple feature detectors for the head and ankles, which provide initial landmark locations. We find that, if body poses are fairly similar, as in CAESAR, the fully automated method provides dense alignments that enable statistical analysis and anthropometric measurement.

Author(s): Hirshberg, D. A. and Loper, M. and Rachlin, E. and Tsoli, A. and Weiss, A. and Corner, B. and Black, M. J.
Book Title: 2nd International Conference on 3D Body Scanning Technologies
Pages: 76--86
Year: 2011
Month: October
Editors: D{'}Apuzzo, Nicola
Publisher: Hometrica Consulting

Department(s): Perzeptive Systeme
Research Project(s): 3D Mesh Registration
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

DOI: http://dx.doi.org/10.15221/11.076

Address: Lugano, Switzerland

Links: pdf
Attachments: slides


  title = {Evaluating the Automated Alignment of {3D} Human Body Scans},
  author = {Hirshberg, D. A. and Loper, M. and Rachlin, E. and Tsoli, A. and Weiss, A. and Corner, B. and Black, M. J.},
  booktitle = {2nd International Conference on 3D Body Scanning Technologies},
  pages = {76--86},
  editors = {D{'}Apuzzo, Nicola},
  publisher = {Hometrica Consulting},
  address = {Lugano, Switzerland},
  month = oct,
  year = {2011},
  month_numeric = {10}