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Conference Paper: Image to Geometry Registration for Virtual Dental Models

TitleImage to Geometry Registration for Virtual Dental Models
Authors
Issue Date2018
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001228
Citation
Proceedings of 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018, no. 8631861 How to Cite?
AbstractIn computer-aided design and manufacturing (CAD/CAM) for dentistry, the digital dentition model is usually acquired using intraoral scanner or impression model scanning before further processing. Both tooth shape and shade play important role in treatment planning for patient satisfaction with dental esthetics. However, most of current intraoral scanners cannot generate good enough color texture information. For impression model scanning, tooth shade is even lost when making impression. In the paper we consider the technique using the image-to-geometry registration method to map color intraoral photographs onto the virtual models. We investigate the automatic technique to accurately find correspondences of the digital model and the color intraoral photographs. This eliminates manual placement error of correspondence for the registration.
Persistent Identifierhttp://hdl.handle.net/10722/272031

 

DC FieldValueLanguage
dc.contributor.authorHsung, TC-
dc.contributor.authorLam, YHW-
dc.contributor.authorPow, EHN-
dc.date.accessioned2019-07-20T10:34:18Z-
dc.date.available2019-07-20T10:34:18Z-
dc.date.issued2018-
dc.identifier.citationProceedings of 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018, no. 8631861-
dc.identifier.urihttp://hdl.handle.net/10722/272031-
dc.description.abstractIn computer-aided design and manufacturing (CAD/CAM) for dentistry, the digital dentition model is usually acquired using intraoral scanner or impression model scanning before further processing. Both tooth shape and shade play important role in treatment planning for patient satisfaction with dental esthetics. However, most of current intraoral scanners cannot generate good enough color texture information. For impression model scanning, tooth shade is even lost when making impression. In the paper we consider the technique using the image-to-geometry registration method to map color intraoral photographs onto the virtual models. We investigate the automatic technique to accurately find correspondences of the digital model and the color intraoral photographs. This eliminates manual placement error of correspondence for the registration.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001228-
dc.relation.ispartofInternational Conference on Digital Signal Processing (DSP)-
dc.rightsInternational Conference on Digital Signal Processing (DSP). Copyright © IEEE.-
dc.rights©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleImage to Geometry Registration for Virtual Dental Models-
dc.typeConference_Paper-
dc.identifier.emailHsung, TC: tchsung@hku.hk-
dc.identifier.emailLam, YHW: retlaw@hku.hk-
dc.identifier.emailPow, EHN: ehnpow@hku.hk-
dc.identifier.authorityLam, YHW=rp02183-
dc.identifier.authorityPow, EHN=rp00030-
dc.description.naturepostprint-
dc.identifier.doi10.1109/ICDSP.2018.8631861-
dc.identifier.hkuros299279-
dc.publisher.placeUnited States-

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