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2D-PCA Shape Models: Application to 3D Reconstruction of the Human Teeth from a Single Image

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Medical Computer Vision. Large Data in Medical Imaging (MCV 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8331))

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Abstract

Accurate modeling of human teeth is mandatory for many reasons. Some of them are (1) Providing comfort to patients during mold process, and (2) Enhancing the accuracy level for oral orthodontist and dental care personnel. Shape from Shading (SFS) proved to be of great help in this problem, considering the fact that human tooth surface is textureless. In this paper, we address the problem of 3D tooth reconstruction, and improve the current algorithms. The approached developed in this paper reconstructs the teeth from single image shading with 2D-PCA shape priors that have more sophisticated reflectance model. Oren-Nayar-Wolff model was used for modeling the surface reflectance. This formulation uses shape priors as got from a set of training CT scans of real human teeth. Our experiments show promising quantitative results, which builds the infrastructure for having an optical based approach that accounts for inexpensive and radiationless human tooth reconstruction.

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Notes

  1. 1.

    A height map is a raster image used to store values, such as surface elevation data (The depth in our case).

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Authors and Affiliations

  1. Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY, 40292, USA

    Aly S. Abdelrehim, Aly A. Farag & Ahmed M. Shalaby

  2. Electrical Engineering Department, Assiut University, Assiut, 71516, Egypt

    Moumen T. El-Melegy

Authors
  1. Aly S. Abdelrehim
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  2. Aly A. Farag
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  3. Ahmed M. Shalaby
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  4. Moumen T. El-Melegy
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Corresponding author

Correspondence to Aly S. Abdelrehim .

Editor information

Editors and Affiliations

  1. Technical University of Munich, ETH, Zürich, Switzerland, Munich, Germany

    Bjoern Menze

  2. Medical University of Vienna, Vienna, Austria

    Georg Langs

  3. GE Global Research, Niskayuna, New York, USA

    Albert Montillo

  4. Siemens AG, Erlangen, Germany

    Michael Kelm

  5. University of Applied Sciences Western Switzerland, Sierre, Switzerland

    Henning Müller

  6. University of California, La Jolla, California, USA

    Zhuowen Tu

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Abdelrehim, A.S., Farag, A.A., Shalaby, A.M., El-Melegy, M.T. (2014). 2D-PCA Shape Models: Application to 3D Reconstruction of the Human Teeth from a Single Image. In: Menze, B., Langs, G., Montillo, A., Kelm, M., Müller, H., Tu, Z. (eds) Medical Computer Vision. Large Data in Medical Imaging. MCV 2013. Lecture Notes in Computer Science(), vol 8331. Springer, Cham. https://doi.org/10.1007/978-3-319-05530-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-05530-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05529-9

  • Online ISBN: 978-3-319-05530-5

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