skip to main content
10.1145/2087756.2087818acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
research-article

An augmented reality based teeth shade matching system

Published:11 December 2011Publication History

ABSTRACT

In this paper, we present an augmented reality (AR) based teeth shade matching system for helping dentists verify the correctness of teeth shade matching and evaluate the acceptance of virtual teeth in cosmetic dentistry. The appearance of teeth is captured by a modified camera based on the measurements from cosmetic dentistry. After generating the shade matching map of teeth, we employ a subsurface scattering rendering model to synthesize the photorealistic virtual tooth. The virtual tooth is projected to the original one to test the matching quality. In experiments, we assess the benefits of our system by user evaluations. The experimental results demonstrate that our system can improve the efficiency and accuracy of dentists' analysis of teeth color, and the system has promising potential to be applied in dentistry clinic and dental industry.

References

  1. Chu, S. J., Devigus, A., and Mieleszko, A. J. 2004. Fundamentals of Color: Shade Matching and Communication in Esthetic Dentistry. Quintessence Publishing.Google ScholarGoogle Scholar
  2. d'Eon, E., Luebke, D. P., and Enderton, E. 2007. Efficient rendering of human skin. In Rendering Techniques, 147--157. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Donner, C., and Jensen, H. W. 2005. Light diffusion in multi-layered translucent materials. ACM Trans. Graph. 24 (July), 1032--1039. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Donner, C., Weyrich, T., d'Eon, E., Ramamoorthi, R., and Rusinkiewicz, S. 2008. A layered, heterogeneous reflectance model for acquiring and rendering human skin. ACM Trans. Graph. 27 (December), 140:1--140:12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Dut, M., Amariei, C. I., Bogdan, C. M., Popovici, D. M., Ionescu, N., and Nuca, C. I. 2011. An overview of virtual and augmented reality in dental education. Oral Health and Dental management 10, 1.Google ScholarGoogle Scholar
  6. Hannak, W., 2004. First experiences with a new training program for colour differentiation. IADR/AADR/CADR 82nd General Session, March.Google ScholarGoogle Scholar
  7. Joiner, A. 2004. Tooth colour: a review of the literature. Journal of Dentistry 32 Suppl 1, 3--12.Google ScholarGoogle ScholarCross RefCross Ref
  8. Kim, L., Hwang, Y., Park, S. H., and Ha, S. 2005. Dental training system using multi-modal interface. Computer Aided Design And Applications 2, 5, 591--598.Google ScholarGoogle ScholarCross RefCross Ref
  9. Shetty, S., and Bailey, M. 2010. A physical rendering model for human teeth. In ACM SIGGRAPH 2010 Posters, ACM, New York, NY, USA, SIGGRAPH '10, 116:1--116:1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Wang, D. X., Zhang, Y., Wang, Y., and Lu, P. 2003. Development of dental training system with haptic display. The 12th IEEE International Workshop on Robot and Human Interactive Communication 2003 Proceedings ROMAN 2003, 159--164.Google ScholarGoogle Scholar
  11. Wee, A. G., Lindsey, D. T., Kuo, S., and Johnstona, W. M. 2006. Color accuracy of commercial digital cameras for use in dentistry. Dental Materials 22, 6, 47--61.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. An augmented reality based teeth shade matching system

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            VRCAI '11: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
            December 2011
            617 pages
            ISBN:9781450310604
            DOI:10.1145/2087756

            Copyright © 2011 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 11 December 2011

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article

            Acceptance Rates

            Overall Acceptance Rate51of107submissions,48%

            Upcoming Conference

            SIGGRAPH '24

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader