Skip to main content

Sunken Relief Generation from a Single Image

  • Conference paper
  • First Online:
Next Generation Computer Animation Techniques (AniNex 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10582))

  • 1302 Accesses

Abstract

Sunken relief is an art form whereby the depicted shapes are sunk into a given flat plane with a shallow overall depth. In this paper, we propose a sunken relief generation algorithm based on a single image. Our method starts from a single image. First, we smoothen the image with morphological operations such as opening and closing operations and extract the feature lines by comparing the values of adjacent pixels. Then we apply unsharp masking to sharpen the feature lines. After that, we focus on local information enhancement and smoothing to obtain an image that with little burrs and jaggies. Differential operations are necessary to produce the perceptive relief effect. Finally, we construct the sunken relief surface by triangularization, by which two-dimensional information is transformed into a three-dimensional model. The results demonstrate that our method is simple and efficient.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Cignoni, P., Montani, C., Scopigno, R.: Computer-assisted generation of bas-and high-reliefs. J. Graph. Tools 2(3), 15–28 (1997)

    Article  Google Scholar 

  2. Song, W., Belyaev, A., Seidel, H.P.: Automatic generation of bas-reliefs from 3D shapes. In: IEEE International Conference on Shape Modeling and Applications, pp. 211–214. IEEE Computer Society (2007)

    Google Scholar 

  3. Wu, J., Martin, R., Rosin, P., Sun, X., Langbein, F., Lai, Y., Marshall, A., Liu, Y.: Making bas-reliefs from photographs of human faces. Comput. Aided Des. 45(3), 671–682 (2013)

    Article  Google Scholar 

  4. Arpa, S., Süsstrunk, S., Hersch, R.: High relief from 3D scenes. Comput. Graph. Forum 34(2), 253–263 (2015)

    Article  Google Scholar 

  5. Wang, M., Sun, Y., Zhang, H., Qian, K., Chang, J., He, D.: Digital relief generation from 3D models. Chin. J. Mech. Eng. 29(6), 1128–1133 (2016)

    Article  Google Scholar 

  6. Liu, S., Xu, X.: LI, B., Zhang, L.: An algorithm for generating line-engraving relief. J. Chin Comput. Syst. 32(10), 2088–2091 (2011)

    Google Scholar 

  7. Wang, M., Kerber, J., Chang, J., Zhang, J.: Relief stylization from 3D models using featured lines. In: Spring Conference on Computer Graphics, pp. 37–42. ACM (2011)

    Google Scholar 

  8. Wang, M., Chang, J., Kerber, J., Zhang, J.: A framework for digital sunken relief generation based on 3D geometric models. Vis. Comput. 28(11), 1127–1137 (2012)

    Article  Google Scholar 

  9. Zhang, Y., Zhou, Y., Li, X., Zhang, L.: Line-based sunken relief generation from a 3D mesh. Graph. Models 75(6), 297–304 (2013)

    Article  Google Scholar 

  10. Wang, M., Chang, J., Pan, J., Zhang, J.: Image-based bas-relief generation with gradient operation. In: Proceedings of the 11th IASTED International Conference Computer Graphics and Imaging, Innsbruck, Austria, pp. 33–38. Acta Press (2010)

    Google Scholar 

  11. Zeng, Q., Martin, R., Wang, L., Quinn, J., Sun, Y., Tu, C.: Region-based bas-relief generation from a single image. Graph. Models 76(3), 140–151 (2014)

    Article  Google Scholar 

  12. Koenderink, J.: What does the occluding contour tell us about solid shape? Perception 13(3), 321 (1984)

    Article  Google Scholar 

  13. Raskar, R.: Hardware support for non-photorealistic rendering. In: ACM SIGGRAPH, eurographics Workshop on Graphics Hardware, pp. 41–46. Association for Computing Machinery (2001)

    Google Scholar 

  14. Decarlo, D., Finkelstein, A., Rusinkiewicz, S., Santella, A.: Suggestive contours for conveying shape. ACM Trans. Graph. 22(3), 848–855 (2003)

    Article  Google Scholar 

  15. Zhang, L., He, Y., Xie, X., Chen, W.: Laplacian lines for real-time shape illustration. In: 2009 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, Boston, MA, United states, pp. 129–136. Association for Computing Machinery (2009)

    Google Scholar 

  16. Lee, Y., Markosian, L., Lee, S., Hughes, J.: Line drawings via abstracted shading. ACM Trans. Graph. 26(3), 18 (2007)

    Article  Google Scholar 

  17. Saito, T., Takahashi, T.: Comprehensible rendering of 3-D shapes. ACM Siggraph Comput. Graph. 24(4), 197–206 (1990)

    Article  Google Scholar 

  18. Liang, J., Gong, L.: An improved method of USM processing on color image. In: 2nd China Academic Conference on Printing and Packaging, Beijing, China, pp. 168–171. Trans Tech Publications (2012)

    Google Scholar 

  19. Mitra, S., Li, H., Lin, I., Yu, T.: A new class of nonlinear filters for image enhancement. In: Proceeding of the 1991 International Conference on Acoustics, Speech, and Signal, Toronto, Ontario, Canada, pp. 2525–2528. IEEE (1991)

    Google Scholar 

  20. Ramponi, G.: A cubic unsharp masking technique for contrast enhancement. Sig. Process. 67(2), 211–222 (1998)

    Article  MATH  Google Scholar 

  21. Lee, Y., Park, S.: A study of convex/concave edges and edge-enhancing operators based on the Laplacian. IEEE Trans. Circ. Syst. 37(7), 940–946 (1990)

    Article  MathSciNet  Google Scholar 

  22. Deng, G.: A generalized unsharp masking algorithm. IEEE Trans. Image Process. 20(5), 1249–1261 (2011)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Acknowledgments

This work was funded by the National Natural Science Foundation of China (61402374). We thank all reviewers for editing the English of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Meili Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yang, L., Li, T., Wang, M., Guo, S. (2017). Sunken Relief Generation from a Single Image. In: Chang, J., Zhang, J., Magnenat Thalmann, N., Hu, SM., Tong, R., Wang, W. (eds) Next Generation Computer Animation Techniques. AniNex 2017. Lecture Notes in Computer Science(), vol 10582. Springer, Cham. https://doi.org/10.1007/978-3-319-69487-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69487-0_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69486-3

  • Online ISBN: 978-3-319-69487-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics