Abstract
Although the detailed oral anatomy can be acquired using techniques such as Computer Tomography, the development of mass consumer products is dependent of non-invasive, safe acquisition techniques such as the bite imprint, commonly used in orthodontic treatments. However, bite imprints provide only limited details of the global teeth and gum shapes, and therefore understanding both shape's local and global properties is important. In this paper we present a method, based on so-called medial point clouds, for the automatic segmentation of dental surfaces (such as dental cast scans). Our method is targeted at applications in consumer oral healthcare devices.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014) |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 331-334 |
| ISBN (Print) | 978-1-4799-1290-2 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 2014 IEEE International Conference on Consumer Electronics (ICCE 2014) - Las Vegas, United States Duration: 10 Jan 2014 → 13 Jan 2014 |
Conference
| Conference | 2014 IEEE International Conference on Consumer Electronics (ICCE 2014) |
|---|---|
| Abbreviated title | ICCE 2014 |
| Country | United States |
| City | Las Vegas |
| Period | 10/01/14 → 13/01/14 |
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Cite this
Kustra, J., Jager, de, M. K. J., Jalba, A. C., & Telea, A. C. (2014). A medial point cloud based algorithm for dental cast segmentation. In IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014) (pp. 331-334). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCE.2014.6776028