A medial point cloud based algorithm for dental cast segmentation

J. Kustra, M.K.J. Jager, de, A.C. Jalba, A.C. Telea

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationIEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages331-334
ISBN (Print)978-1-4799-1290-2
DOIs
Publication statusPublished - 2014
Event2014 IEEE International Conference on Consumer Electronics (ICCE 2014) - Las Vegas, United States
Duration: 10 Jan 201413 Jan 2014

Conference

Conference2014 IEEE International Conference on Consumer Electronics (ICCE 2014)
Abbreviated titleICCE 2014
CountryUnited States
CityLas Vegas
Period10/01/1413/01/14

Fingerprint Dive into the research topics of 'A medial point cloud based algorithm for dental cast segmentation'. Together they form a unique fingerprint.

  • 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