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A Visual Processing System for Facial Prediction

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Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

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Abstract

In this paper, we describe a 2D and a 3D practical visual processing system for facial prediction in surgical correction of dento-maxillafacial deformities. For 2D system, we use adaptive filtering and edge detecting techniques and some artificial intelligent approaches to locate landmarks and make diagnostic decision on facial cephalogram and photo. For 3D system, we employ laser active triangulation principle to acquire range data of human face and reconstruct 3D high quality face image. The 2D system can realize the automation from landmark location to parameter measurement on cephalogram while the 3D system can make the diagnostic design of preoperation of orthognathic surgery more visual and accurate.

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References

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Author information

Authors and Affiliations

  1. Kent Ridge Digital Labs, 21 Heng Mui Keng Terrace, Singapore, 119613, Republic of Singapore

    Changsheng Xu & Jiankang Wu

  2. Institute of Automation Chinese Academy of Sciences, National Lab of Pattern Recognition, Beijing, 100080, P.R.China

    Songde Ma

Authors
  1. Changsheng Xu
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  2. Jiankang Wu
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  3. Songde Ma
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Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

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© 1999 Springer-Verlag Berlin Heidelberg

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Xu, C., Wu, J., Ma, S. (1999). A Visual Processing System for Facial Prediction. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_91

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  • DOI: https://doi.org/10.1007/3-540-48762-X_91

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

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