Skip to main content
Springer Nature Link
Log in

Light-Weight Multi-view Topology Consistent Facial Geometry and Reflectance Capture

  • Conference paper
  • First Online:
Advances in Computer Graphics (CGI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13002))

Included in the following conference series:

  • 2296 Accesses

Abstract

We present a light-weight multi-view capture system with different lighting conditions to generate a topology consistent facial geometry and high-resolution reflectance texture maps. Firstly, we construct the base mesh from multi-view images using the stereo reconstruction algorithms. Then we leverage the mesh deformation technique to register a template mesh to the reconstructed geometry for topology consistency. The facial and ear landmarks are also utilized to guide the deformation. We adopt the photometric stereo and BRDF fitting methods to recover the facial reflectance field. The specular normal which contains high-frequency information is finally utilized to refine the coarse geometry for sub-millimeter details. The captured topology consistent finer geometry and high-quality reflectance information can be used to produce a lifelike personalized digital avatar.

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

Access this chapter

Log in via an institution

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. Alexander, O., Rogers, M., Lambeth, W., Chiang, M., Debevec, P.: The digital emily project: photoreal facial modeling and animation. In: ACM SIGGRAPH Course (2009)

    Google Scholar 

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

    Article  Google Scholar 

  3. Blanz, V., Scherbaum, K., Vetter, T., Seidel, H.: Exchanging faces in images. Comput. Graph. Forum 23(3), 669–676 (2004)

    Article  Google Scholar 

  4. 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 (1999)

    Google Scholar 

  5. Bradley, D., Heidrich, W., Popa, T., Sheffer, A.: High resolution passive facial performance capture. ACM Trans. Graph. 29(4), 1–10 (2010)

    Article  Google Scholar 

  6. Cao, C., Bradley, D., Zhou, K., Beeler, T.: Real-time high-fidelity facial performance capture. ACM Trans. Graph. 34(4), 46:1–46:9 (2015)

    Google Scholar 

  7. Chen, Z., Gao, T., Sheng, B., Li, P., Chen, C.L.P.: Outdoor shadow estimating using multiclass geometric decomposition based on BLS. IEEE Trans. Cybern. 50(5), 2152–2165 (2020)

    Article  Google Scholar 

  8. Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 681–685 (2001)

    Article  Google Scholar 

  9. Debevec, P.E., Hawkins, T., Tchou, C., Duiker, H.P., Sarokin, W., Sagar, M.: Acquiring the reflectance field of a human face. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques (2000)

    Google Scholar 

  10. Ding, S., Sheng, B., Hou, X., Xie, Z., Ma, L.: Intrinsic image decomposition using multi-scale measurements and sparsity: intrinsic image decomposition. Comput. Graph. Forum 36(6), 251–261 (2017)

    Article  Google Scholar 

  11. Fyffe, G., Graham, P., Tunwattanapong, B., Ghosh, A., Debevec, P.: Near instant capture of high resolution facial geometry and reflectance. Comput. Graph. Forum 35(2), 353–363 (2016)

    Article  Google Scholar 

  12. Fyffe, G., et al.: Multi-view stereo on consistent face topology. Comput. Graph. Forum 36(2), 295–309 (2017)

    Article  Google Scholar 

  13. Ghosh, A., Chen, T., Peers, P., Wilson, C.A., Debevec, P.: Estimating specular roughness and anisotropy from second order spherical gradient illumination. Comput. Graph. Forum 28(4), 1161–1170

    Google Scholar 

  14. Ghosh, A., Fyffe, G., Tunwattanapong, B., Busch, J., Yu, X., Debevec, P.: Multiview face capture using polarized spherical gradient illumination. ACM Trans. Graph. 30(6), 1–10 (2011)

    Article  Google Scholar 

  15. Ghosh, A., Hawkins, T., Peers, P., Frederiksen, S., Debevec, P.: Practical modeling and acquisition of layered facial reflectance. ACM Trans. Graph. 27(5), 1–10 (2008)

    Article  Google Scholar 

  16. Graham, P., et al.: Measurement-based synthesis of facial microgeometry. Comput. Graph. Forum 32, 335–344 (2013)

    Article  Google Scholar 

  17. Ichim, A., Bouaziz, S., Pauly, M.: Dynamic 3D avatar creation from hand-held video input. ACM Trans. Graph. 34(4), 1–14 (2015)

    Article  Google Scholar 

  18. Klehm, O., et al.: Recent advances in facial appearance capture. Comput. Graph. Forum 34(2), 709–733 (2015)

    Article  Google Scholar 

  19. Li, T., Bolkart, T., Black, M.J., Li, H., Romero, J.: Learning a model of facial shape and expression from 4D scans. ACM Trans. Graph. 36(6), 194:1–194:17 (2017)

    Google Scholar 

  20. Ma, W.C., Hawkins, T., Peers, P., Chabert, C.F., Debevec, P.E.: Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination. In: Eurographics Conference on Rendering Techniques (2007)

    Google Scholar 

  21. Nehab, D., Rusinkiewicz, S., Davis, J., Ramamoorthi, R.: Efficiently combining positions and normals for precise 3D geometry. ACM Trans. Graph. 24(3), 536–543 (2005)

    Article  Google Scholar 

  22. Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137–1149 (2017)

    Article  Google Scholar 

  23. Sheng, B., Li, P., Jin, Y., Tan, P., Lee, T.Y.: Intrinsic image decomposition with step and drift shading separation. IEEE Trans. Vis. Comput. Graph. 26(2), 1332–1346 (2020)

    Article  Google Scholar 

  24. Si, H.: Tetgen, a delaunay-based quality tetrahedral mesh generator. ACM Trans. Math. Softw. 41(2), 1–36

    Google Scholar 

  25. Sorkine, O., Alexa, M.: As-rigid-as-possible surface modeling. In: Eurographics Symposium on Geometry Processing, pp. 109–116 (2007)

    Google Scholar 

  26. Weyrich, T., Matusik, W., Pfister, H., Bickel, B., Gross, M.: Analysis of human faces using a measurement-based skin reflectance model. ACM Trans. Graph. 25(3), 1013 (2006)

    Article  Google Scholar 

  27. Woodham, R.J.: Photometric stereo: a reflectance map technique for determining surface orientation from intensity. Proc. SPIE 155, 136–143 (1979)

    Article  Google Scholar 

  28. Zhou, K., Huang, J., Snyder, J., Liu, X., Bao, H., Guo, B., Shum, H.: Large mesh deformation using the volumetric graph Laplacian. ACM Trans. Graph. 24(3), 496–503 (2005)

    Article  Google Scholar 

  29. Zhou, Y., Zaferiou, S.: Deformable models of ears in-the-wild for alignment and recognition. In: IEEE International Conference on Automatic Face and Gesture Recognition, pp. 626–633. IEEE (2017)

    Google Scholar 

  30. Zickler, T., Mallick, S.P., Kriegman, D.J., Belhumeur, P.N.: Color subspaces as photometric invariants. Int. J. Comput. Vis. 79(1), 13–30 (2008)

    Article  Google Scholar 

  31. Zickler, T., Ramamoorthi, R., Enrique, S., Belhumeur, P.N.: Reflectance sharing: predicting appearance from a sparse set of images of a known shape. IEEE Trans. Pattern Anal. Mach. Intell. 28(8), 1287–1302 (2006)

    Article  Google Scholar 

  32. Zollhofer, M., et al.: State of the art on monocular 3D face reconstruction, tracking, and applications. Comput. Graph. Forum 37(2), 523–550 (2018)

    Google Scholar 

Download references

Acknowledgments

The authors would like to thank the anonymous reviewers for their valuable comments and helpful suggestions. This work was supported by the National Natural Science Foundation of China under Grants Nos. 61872317.

Author information

Authors and Affiliations

  1. State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310000, China

    Penglei Ji, Hanchao Li, Luyan Jiang & Xinguo Liu

Authors
  1. Penglei Ji
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hanchao Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Luyan Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xinguo Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xinguo Liu .

Editor information

Editors and Affiliations

  1. University of Geneva, Carouge, Switzerland

    Nadia Magnenat-Thalmann

  2. University of Minnesota, Minneapolis, MN, USA

    Victoria Interrante

  3. EPFL, Lausanne, Switzerland

    Daniel Thalmann

  4. University of Crete, Heraklion, Crete, Greece

    George Papagiannakis

  5. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  6. University of Sydney, Sydney, NSW, Australia

    Jinman Kim

  7. University of Calgary, Calgary, AB, Canada

    Marina Gavrilova

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ji, P., Li, H., Jiang, L., Liu, X. (2021). Light-Weight Multi-view Topology Consistent Facial Geometry and Reflectance Capture. In: Magnenat-Thalmann, N., et al. Advances in Computer Graphics. CGI 2021. Lecture Notes in Computer Science(), vol 13002. Springer, Cham. https://doi.org/10.1007/978-3-030-89029-2_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-89029-2_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89028-5

  • Online ISBN: 978-3-030-89029-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics