Freeform Shape Clustering for Customized Design Automation
Abstract
Automation can provide significant performance improvements in digital manufacturing systems that customize shapes of implants and prosthetic devices to the anatomy of a patient. The challenge, however, lies in the ability of an automatic solution to adapt to anatomical variations of a given object category. This paper presents a hierarchical framework that generalizes the digital design of anatomical surface models in terms of a small number of prototypes. The latter are derived from the local shape information of constituent parts via shape matching and clustering and then associated with one operation that dictates how a shape undergoes modification. We demonstrate the proposed technique through application to typical hearing aid design operations with promising results.
Cite
Text
Zouhar et al. "Freeform Shape Clustering for Customized Design Automation." IEEE/CVF International Conference on Computer Vision Workshops, 2009. doi:10.1109/ICCVW.2009.5457424Markdown
[Zouhar et al. "Freeform Shape Clustering for Customized Design Automation." IEEE/CVF International Conference on Computer Vision Workshops, 2009.](https://mlanthology.org/iccvw/2009/zouhar2009iccvw-freeform/) doi:10.1109/ICCVW.2009.5457424BibTeX
@inproceedings{zouhar2009iccvw-freeform,
title = {{Freeform Shape Clustering for Customized Design Automation}},
author = {Zouhar, Alexander and Baloch, Sajjad and Azernikov, Sergei and Bahlmann, Claus and Ünal, Gözde B. and Fang, Tong and Fuchs, Siegfried},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2009},
pages = {1590-1597},
doi = {10.1109/ICCVW.2009.5457424},
url = {https://mlanthology.org/iccvw/2009/zouhar2009iccvw-freeform/}
}