Skip to main content

Feature-Preserving 3D Thumbnail Creation with Voxel-Based Two-Phase Decomposition

  • 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

We present a feature-preserving 3D thumbnail system for efficient 3D models database browsing. The 3D thumbnail is simplified from the original model so it requires much less hardware resource and transferring time. With topology-preserved 3D thumbnails, the user can browse multiple 3D models at once, and view each model from different angles interactively. To well preserve the topology of the original model, we propose an innovative voxel-based shape decomposition approach, which identifies meaningful parts of a 3D object, the 3D thumbnail is then created by approximating each individual part with fitting primitives. Experimental results demonstrates that the proposed approach can decompose a 3D model well to create a feature-preserving 3D thumbnail.

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 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. Mortara, M., Spagnuolo, M.: Semantics-driven best view of 3d shapes. In: IEEE International Conference on Shape Modelling and Applications 2009, vol. 33, pp. 280–290 (2009)

    Google Scholar 

  2. Chiang, P.Y., Kuo, M.C., Silva, T., Rosenberg, M., Kuo, C.C.J.: Feature-preserving 3D thumbnail creation via mesh decomposition and approximation. In: Qiu, G., Lam, K.M., Kiya, H., Xue, X.-Y., Kuo, C.-C.J., Lew, M.S. (eds.) PCM 2010. LNCS, vol. 6298, Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  3. Lin, H.Y.S., Liao, H.Y.M., Lin, J.C.: Visual salience-guided mesh decomposition. IEEE Transactions on Multimedia 9, 45–57 (2007)

    Article  Google Scholar 

  4. Shamir, A.: A survey on mesh segmentation techniques. Computer Graphics Forum 27, 1539–1556 (2008)

    Article  MATH  Google Scholar 

  5. Katz, S., Tal, A.: Hierarchical mesh decomposition using fuzzy clustering and cuts. In: SIGGRAPH 2003, pp. 954–961. ACM, New York (2003)

    Google Scholar 

  6. Liu, R.F., Zhang, H., Shamir, A., Cohen-Or, D.: A part-aware surface metric for shape analysis. Computer Graphics Forum (Eurographics 2009) 28 (2009)

    Google Scholar 

  7. Cohen-Steiner, D., Alliez, P., Desbrun, M.: Variational shape approximation. In: SIGGRAPH 2004, pp. 905–914. ACM, New York (2004)

    Google Scholar 

  8. Wu, J., Kobbelt, L.: Structure recovery via hybrid variational surface approximation. Computer Graphics Forum 24, 277–284(8) (2005)

    Article  Google Scholar 

  9. Attene, M., Falcidieno, B., Spagnuolo, M.: Hierarchical mesh segmentation based on fitting primitives. Vis. Comput. 22, 181–193 (2006)

    Article  Google Scholar 

  10. Binvox. 3D mesh voxelizer, http://www.cs.princeton.edu/~min/binvox/

  11. Thinvox. 3D thinning tool, http://www.cs.princeton.edu/~min/thinvox/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chiang, PY., Kuo, MC., Kuo, C.C.J. (2010). Feature-Preserving 3D Thumbnail Creation with Voxel-Based Two-Phase Decomposition. 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_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17289-2_11

  • 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