Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

NEUROSCIENCE

Representing faces in 3D

Nature Human Behaviour volume 3, pages 776–777 (2019)Cite this article

Subjects

How do we recognize the individual faces of our family members, friends and acquaintances across the variation that is common in daily life? Zhan and colleagues demonstrate the importance of three-dimensional structure in the representations of known individuals and argue that texture—the surface properties of faces—plays little role in representation.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

References

  1. Cootes, T.F., Edwards, G.J. & Taylor, C.J. Active appearance models. European Conference on Computer Vision (eds.) 484–498 (Springer, 1998).

  2. Chang, L. & Tsao, D. Y. Cell 169, 1013–1028.e14 (2017).

    Article  CAS  Google Scholar 

  3. Zhan, J., Garrod, O.G.B., van Rijsbergen, N. & Schyns, P.G. Nat. Hum. Behav. https://doi.org/10.1038/s41562-019-0625-3 (2019).

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

  5. Nemrodov, D., Behrmann, M., Niemeier, M., Drobotenko, N. & Nestor, A. Neuroimage 184, 813–825 (2019).

    Article  Google Scholar 

  6. Geirhos, R. et al. ImageNet-Trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. International Conference on Learning Representations (eds.) 1–22 (2019).

  7. Xu, T. et al. Preprint at arXiv https://arxiv.org/abs/1811.07807 (2018).

  8. Isik, L., Leibo, J.Z. & Poggio, T. Front. Comput. Neurosci. https://doi.org/10.3389/fncom.2012.00037 (2012).

  9. Dave, A., Russakovsky, O. & Ramanan, D. Preprint at arXiv https://arxiv.org/abs/1704.03615 (2017).

  10. Yildirim, I., Belledonne, M., Freiwald, W., Tenenbaum, J. Preprint at bioRxiv https://www.biorxiv.org/content/10.1101/282798v2 (2019).

Download references

Author information

Authors and Affiliations

  1. Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA

    Nicholas Blauch & Marlene Behrmann

  2. Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA

    Marlene Behrmann

Authors
  1. Nicholas Blauch
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marlene Behrmann
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marlene Behrmann.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Blauch, N., Behrmann, M. Representing faces in 3D. Nat Hum Behav 3, 776–777 (2019). https://doi.org/10.1038/s41562-019-0630-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41562-019-0630-6

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing