A medial point cloud based algorithm for dental cast segmentation

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

doi:10.1109/ICCE.2014.6776028

A medial point cloud based algorithm for dental cast segmentation

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

1 Citaat (Scopus)

Samenvatting

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.

Originele taal-2	Engels
Titel	IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014)
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	331-334
ISBN van geprinte versie	978-1-4799-1290-2
DOI's	https://doi.org/10.1109/ICCE.2014.6776028
Status	Gepubliceerd - 2014
Evenement	2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, Verenigde Staten van Amerika Duur: 10 jan. 2014 → 13 jan. 2014

Congres

Congres	2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Verkorte titel	ICCE 2014
Land/Regio	Verenigde Staten van Amerika
Stad	Las Vegas
Periode	10/01/14 → 13/01/14
Ander	2014 IEEE International Conference on Consumer Electronics

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10.1109/ICCE.2014.6776028

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@inproceedings{a0650a2371af40cdaf5ef7edc30a2eda,

title = "A medial point cloud based algorithm for dental cast segmentation",

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.",

author = "J. Kustra and \{Jager, de\}, M.K.J. and A.C. Jalba and A.C. Telea",

year = "2014",

doi = "10.1109/ICCE.2014.6776028",

language = "English",

isbn = "978-1-4799-1290-2",

pages = "331--334",

booktitle = "IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2014 IEEE International Conference on Consumer Electronics, ICCE 2014, ICCE 2014 ; Conference date: 10-01-2014 Through 13-01-2014",

}

Kustra, J, Jager, de, MKJ, Jalba, AC & Telea, AC 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). Institute of Electrical and Electronics Engineers, Piscataway, blz. 331-334, 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, Las Vegas, Nevada, Verenigde Staten van Amerika, 10/01/14. https://doi.org/10.1109/ICCE.2014.6776028

A medial point cloud based algorithm for dental cast segmentation. / Kustra, J.; Jager, de, M.K.J.; Jalba, A.C. et al.
IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014). Piscataway: Institute of Electrical and Electronics Engineers, 2014. blz. 331-334.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Jager, de, M.K.J.

AU - Jalba, A.C.

AU - Telea, A.C.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

U2 - 10.1109/ICCE.2014.6776028

DO - 10.1109/ICCE.2014.6776028

M3 - Conference contribution

SN - 978-1-4799-1290-2

SP - 331

EP - 334

BT - IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014)

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ER -

A medial point cloud based algorithm for dental cast segmentation

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