Skip to main content
SpringerLink
Log in

A Brief Survey: 3D Face Reconstruction

  • Conference paper
  • First Online:
Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 97))

Abstract

3D reconstruction technology is an important branch in the field of computer vision. Due to the large proportion of face information when people browsing pictures and the rapid development of virtual reality applications, face reconstruction technology has attracted more attention from researchers over many years. In terms of the special structure of human face, 3D faces reconstruction is quite different from ordinary object 3D reconstruction. This paper summaries the approaches of obtaining face data and the expression of 3d face. The reconstruction effect of each method is analyzed, including the advantages and disadvantages, the issues that can be improved, as well as the prospect of the future work.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Baillard, C., Zisserman, A.: A plane sweep strategy for the 3D reconstruction of buildings from multiple images. Int. Arch. Photogram. Remote Sens. 33(2), 56–62 (2000)

    Google Scholar 

  2. Beeler, T., Bickel, B., Beardsley, P.: High-quality single-shot capture of facial geometry. ACM Trans. Graph. 29(4), 1–9 (2010)

    Article  Google Scholar 

  3. Blanz, V., Vetter, T.: A morphable model for the synthesis of 3D faces. In: Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, pp. 187–194 (1999)

    Google Scholar 

  4. Richardson, E., Sela, M., Kimmel, R.: 3D face reconstruction by learning from synthetic data. In: 3DV, 460–469 (2016)

    Google Scholar 

  5. Richardson, E., Sela, M., Or-El, R., Kimmel, R.: Learning detailed face reconstruction from a single image. In: CVPR, pp. 1259–1268 (2017)

    Google Scholar 

  6. Liu, F., Zeng, D., Zhao, Q., Liu, X.: Joint face alignment and 3D face reconstruction. In: ECCV, pp. 545–560 (2016)

    Google Scholar 

  7. Jackson, A.S., Bulat, A., Argyriou, V., Tzimiropoulos, G.: Large pose 3D face reconstruction from a single image via direct volumetric CNN regression. In: 2017 ICCV, pp. 1031–1039 (2017)

    Google Scholar 

  8. Jia, Z., Chang, Y.J., Lin, T.H.: Dense interpolation of 3D points based on surface and color. IEEE (2011)

    Google Scholar 

  9. May, S., Droeschel, D., Holz, D.: 3D pose estimation and mapping with time-of-flight cameras. In: Proceedings of IEEE/RSJ, France, pp. 120–125 (2008)

    Google Scholar 

  10. May, S., Droeschel, D., Fuchs, S.: Robust 3D-mapping with time-of-fight cameras. In: Proceedings of IEEE/RSJ, pp. 1673–1678 (2009)

    Google Scholar 

  11. Song, M., Tao, D., Huang, X., Chen, C., Bu, J.: Three dimensional face reconstruction from a single image by a coupled RBF network. IEEE Trans. Image Process. 21(5), 2887–2897 (2012)

    Article  MathSciNet  Google Scholar 

  12. Dou, P., Shah, S.K.: End-to end 3D face reconstruction with deep neural networks. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society (2017)

    Google Scholar 

  13. Dou, P., Wu, Y., Shah, S.K., Kakadiaris, I.A.: Robust 3D facial shape reconstruction from single images via two fold coupled structure learning. In: Proceedings of the British Machine Vision Conference, 1–5 September (2014)

    Google Scholar 

  14. Zhang, R., Tsai, P.S., Cryer, J.E., Shah, M.: Shape-from-shading: a survey. Trans. Pattern Anal. Mach. Intell. (S0162-8828) 21(8), 690–706 (1999)

    Article  Google Scholar 

  15. Saito, K., Miyoshi, T., Yoshikawa, H.: Noncontact 3D digitizing and machining system for free-form surfaces. CIRP Ann. Manufact. Technol. 40(1), 483–486 (1991)

    Article  Google Scholar 

  16. Tu, X., Zhao, J., Jiang, Z., Luo, Y., Xie, M., Zhao, Y., et al.: Joint 3D face reconstruction and dense face alignment from a single image with 2D-assisted self-supervised learning (2019, unpublished)

    Google Scholar 

  17. Feng, Y., Wu, F., Shao, X.: Joint 3D face reconstruction and dense alignment with position map regression network. In: European Conference on Computer Vision. Springer, Cham (2018)

    Chapter  Google Scholar 

  18. Lee, Y.J., Lee, S.J., Park, K.R., Jo, J., Kim, J.: Single view-based 3D face reconstruction robust to self-occlusion. EURASIP 176 (2012)

    Google Scholar 

  19. Zhang, L., Snavely, N., Curless, B.: Spacetime faces: high resolution capture for modeling and animation. 23(3), 548–558 (2004)

    Google Scholar 

Download references

Acknowledgements

This paper is supported by China Fundamental Research Funds for the Central Universities under Grant No. N180716019 and Grant No. N182808003.

Author information

Authors and Affiliations

  1. Engineering Research Center of Scurity Technology of Complex Network System, Ministry of Education; Liaoning Research Center of Safety Engineering Technology in Industrial Control, NorthEastern University, Shenyang, China

    Tianhan Gao

  2. NorthEastern University, Shenyang, China

    Hui An

Authors
  1. Tianhan Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hui An
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Tianhan Gao or Hui An .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electronics, University of Antwerp, Antwerp, Belgium

    Peter Hellinckx

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gao, T., An, H. (2020). A Brief Survey: 3D Face Reconstruction. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_77

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-33506-9_77

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33505-2

  • Online ISBN: 978-3-030-33506-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation