Skip to main content
SpringerLink
Log in

Toward an Automatic Hole Characterization for Surface Correction

  • Conference paper
Advances in Visual Computing (ISVC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6453))

Included in the following conference series:

Abstract

This paper describes a method for Automatic hole characterization on 3D meshes, avoiding user intervention to decide which regions of the surface should be corrected. The aim of the method is to classify real and false anomalies without user intervention by using a contours irregularity measure based on two geometrical estimations: the torsion contour’s estimation uncertainty, and an approximation of geometrical shape measure surrounding the hole.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Koenderink, J.J., van Doorn, A.J.: Surface shape and curvature scales. Image Vision Comput. 10(8), 557–565 (1992) ISSN:0262-8856

    Article  Google Scholar 

  2. Lewiner, T., Gomes Jr., J.D., Lopes, H., Craizer, M.: Curvature and torsion estimators based on parametric curve fitting. Computers & Graphics 29(5), 641–655 (2005) ISSN 0097-8493

    Article  Google Scholar 

  3. Lancaster, P., Salkauskas, K.: Surfaces generated by moving least squares methods. Math. Comp. 37(155), 141–158 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  4. Lancaster, P., Salkauskas, k.: Curve and Surface Fitting: An Introduction. Academic Press, London (2002)

    MATH  Google Scholar 

  5. Ariel, C.: Lectures on Probability, Entropy, and Statistical Physics. Al-bany: Department of Physics, University at Albany (2008); 0808.0012

    Google Scholar 

  6. Sun, X., et al.: Noise in 3D laser range scanner data. In: IEEE International Conference on Shape Modeling and Applications, SMI 2008, pp. 37–45 (2008)

    Google Scholar 

  7. Turk, G., Levoy, M.: Zippered polygon meshes from range images, pp. 311–318. ACM, New York (1994)

    Google Scholar 

  8. Curless, B.: New Methods for Surface Reconstruction from Range Images. Stanford University (1997)

    Google Scholar 

  9. Kumar, A., et al.: A Hole-filling Algorithm Using Non-uniform Rational B-splines, pp. 169–182. Springer, Heidelberg (2007)

    MATH  Google Scholar 

  10. Besl, P.J.: The free-form surface matching problem, in Machine Vision for Three-Dimensional Scenes. Academic Press, London (1990)

    Google Scholar 

  11. Pauly, M., Gross, M., Kobbelt, L.P.: Efficient simplification of point-sampled surfaces, pp. 163–170. IEEE Computer Society, Los Alamitos (2002)

    Google Scholar 

  12. do Carmo, M.: Differential geometry of curves and surfaces. Prentice Hall, Englewood Cliffs (1976)

    MATH  Google Scholar 

  13. Dorai, C., et al.: Registration and Integration of Multiple Object Views for 3D Model Construction. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 83–89 (1998)

    Article  Google Scholar 

  14. Curless, B., Levoy, M.: A volumetric method for building complex models from range images, pp. 303–312. ACM Press, New York (1996)

    Google Scholar 

  15. Carr, J.C., et al.: Smooth surface reconstruction from noisy range data, pp. 119–126. ACM Press, New York (2003)

    Google Scholar 

  16. Davis, J., et al.: Filling Holes in Complex Surfaces Using Volumetric Diffusion, pp. 428–438 (2002)

    Google Scholar 

  17. Wang, J., Oliveira, M.M.: A hole-filling strategy for reconstruction of smooth surfaces in range images. In: XVI Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2003, pp. 11–18 (2003)

    Google Scholar 

  18. Podolak, J., Rusinkiewicz, S.: Atomic volumes for mesh completion, p. 33. Eurographics Association (2005)

    Google Scholar 

  19. Bischoff, S., Pavic, D., Kobbelt, L.: Automatic restoration of polygon models. ACM Trans. Graph. 24, 1332–1352 (2005)

    Article  Google Scholar 

  20. Guo, T., et al.: Filling Holes in Meshes and Recovering Sharp Edges. In: IEEE International Conference on Systems, Man and Cybernetics, SMC 2006, vol. 6, pp. 5036–5040 (2006)

    Google Scholar 

  21. Bendels, G.H., Schnabel, R., Klein, R.: Fragment-based Surface Inpainting. In: Desbrun, M., Pottmann, H. (eds.) The Eurographics Association (2005)

    Google Scholar 

  22. Branch, J., Prieto, F., Boulanger, P.: Automatic Hole-Filling of Triangular Meshes Using Local Radial Basis Function, pp. 727–734. IEEE Computer Society, Los Alamitos (2006)

    Google Scholar 

  23. Liepa, P.: Filling holes in meshes, pp. 200–205. Eurographics Association (2003)

    Google Scholar 

  24. Zhao, W., Gao, S., Lin, H.: A robust hole-filling algorithm for triangular mesh. Vis. Comput. 23, 987–997 (2007)

    Article  Google Scholar 

  25. Ju, T.: Robust repair of polygonal models, pp. 888–895. ACM, New York (2004)

    Google Scholar 

  26. Chen, C.-Y., Cheng, K.-Y.: A Sharpness-Dependent Filter for Recovering Sharp Features in Repaired 3D Mesh Models. IEEE Transactions on Visualization and Computer Graphics 14, 200–212 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering, Systems Program, University of Magdalena, Santa Marta, Colombia

    German Sanchez T.

  2. Faculty of Minas, Systems and Informatic School, National University of Colombia, Medellin, Colombia

    John William Branch

Authors
  1. German Sanchez T.
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. John William Branch
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. The Chinese University of Hong Kong, Shatin, Hong Kong, China

    Ronald Chung

  6. Dyna Vox Systems, Pittsburgh, PA, USA

    Riad Hammoud

  7. King Saud University, Riyadh, Saudi Arabia

    Muhammad Hussain

  8. Hewlett Packard Labs, Paolo Alto, CA, USA

    Tan Kar-Han

  9. The Ohio State University, Columbus, OH, USA

    Roger Crawfis

  10. Virtual Reality Lab, EPFL, Lausanne, Switzerland

    Daniel Thalmann

  11. NASA Ames Research Center, Clifton Park, NY, USA

    David Kao

  12. Kitware, Clifton Park, NY, USA

    Lisa Avila

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sanchez T., G., Branch, J.W. (2010). Toward an Automatic Hole Characterization for Surface Correction. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17289-2_58

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17289-2_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17288-5

  • Online ISBN: 978-3-642-17289-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation