Skip to main content

Automatic Quantitative Mouth Shape Analysis

  • Conference paper
Computer Analysis of Images and Patterns (CAIP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4673))

Included in the following conference series:

Abstract

In this paper we present a methodology to automatically analyze the soft tissue of the mouth. The methodology is based on some measures obtained from the lip contour. Process starts with the face localization, followed by the mouth area segmentation. A first approximation to the external lip contour is obtained by using active contours. The control points of the contours are used to calculate the four parametric functions that define the mouth template. Results show how the feature extraction algorithms and active contour adjustment perform. In addition, some tests were carried out on images of children with repaired cleft lip.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ferrario, V.F., Sforza, C., Dellavia, C., Tartaglia, G.M., Colombo, A., Carú, A.: A quantitative three-dimensional assessment of soft tissue facial asymmetry of cleft lip and palate adult patients. The Journal of Craniofacial Surgery 14 (2003)

    Google Scholar 

  2. Yeow, V., Huang, M., Lee, S.T., Chong, S.F.: An anthropometric analysis of indices of severity in the unilateral cleft lip. Craniofacial Surgery (2002)

    Google Scholar 

  3. Hurwitz, D., Ashby, E., Llull, R., Pasqual, J., Tabor, C., Garrison, L., Gillen, J., Weyant, R.: Computer-assisted anthropometry for outcome assessment of cleft lip (1999)

    Google Scholar 

  4. Millard, D.R.: Cleft Craft. The Evolution of its Surgery. In: Unilateral deformity, vol. I, Little, Brown and company, Boston, Massachussets (1976)

    Google Scholar 

  5. Farkas, L., Bryson, W., Klotz, J.: Is photogrammetry of the face reliable. Plastic and Reconstructive Surgery 66 (1980)

    Google Scholar 

  6. Farkas, L.: Antropometría normal y patológica en cabeza y cara. Cirugía Plástica, Reconstructiva y Estética 2 (1994)

    Google Scholar 

  7. Sforza, C., Dellavia, C., Dolci, C., Donetti, E., Ferrario, V.: A quantitative three-dimensional assessment of abnormal variations in the facial soft tissues of individuals with down syndrome. Cleft Palate-Craniofacial Journal 42 (2005)

    Google Scholar 

  8. Krimmel, M., Kluba, S., Bacher, M., Dietz, K., Reinert, S., Farkas, L., Bryson, W., Klotz, J.: Digital surface photogrammetry for anthropometric analysis of the cleft infant face. Cleft Palate-Craniofacial Journal 43 (2006)

    Google Scholar 

  9. Abdel-Mottaleb, M., Jain, A., Hsu, R.: Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (2002)

    Google Scholar 

  10. Torresani, L., Caprile, B., Coianiz, T.: 2d deformable models for visual speech analysis. Technical report, Istituto per la Ricerca Scientifica e Tecnologica (1996)

    Google Scholar 

  11. Smith, S., Brady, J.: SUSAN - a new approach to low level image processing. Int. Journal of Computer Vision 23, 45–78 (1997)

    Article  Google Scholar 

  12. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. Int. J. Computer Vision 1, 321–331 (1987)

    Article  Google Scholar 

  13. Hernadez, J., Prieto, F., Redarce, T.: Fast active contour for sampling. In: CERMA 2006. Proceedings of the Electronics, Robotics and Automotive Mechanics Conference, pp. 9–13. IEEE Computer Society, Los Alamitos, CA, USA (2006)

    Google Scholar 

  14. Mejía, I.: Extracción automática de características faciales para el estudio antropométrico en niños entre 5 y 10 años de la ciudad de manizales. Technical report (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Walter G. Kropatsch Martin Kampel Allan Hanbury

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Salazar, A., Hernández, J., Prieto, F. (2007). Automatic Quantitative Mouth Shape Analysis. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74272-2_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74271-5

  • Online ISBN: 978-3-540-74272-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics