Matching 3D Facial Shape to Demographic Properties by Geometric Metric Learning: A Part-Based Approach
- DOI
- 10.1109/tbiom.2021.3092564
- Published
- 2022-04
- Container
- IEEE Transactions on Biometrics, Behavior, and Identity Science
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tbiom.2021.3092564,
title = {Matching 3D Facial Shape to Demographic Properties by Geometric Metric Learning: A Part-Based Approach},
author = {Soha Sadat Mahdi and Nele Nauwelaers and Philip Joris and Giorgos Bouritsas and Shunwang Gong and Susan Walsh and Mark D. Shriver and Michael Bronstein and Peter Claes},
year = {2022},
journal = {IEEE Transactions on Biometrics, Behavior, and Identity Science},
doi = {10.1109/tbiom.2021.3092564},
url = {https://doi.org/10.1109/tbiom.2021.3092564}
}RIS
TY - JOUR TI - Matching 3D Facial Shape to Demographic Properties by Geometric Metric Learning: A Part-Based Approach AU - Soha Sadat Mahdi AU - Nele Nauwelaers AU - Philip Joris AU - Giorgos Bouritsas AU - Shunwang Gong AU - Susan Walsh AU - Mark D. Shriver AU - Michael Bronstein AU - Peter Claes PY - 2022 JO - IEEE Transactions on Biometrics, Behavior, and Identity Science DO - 10.1109/tbiom.2021.3092564 UR - https://doi.org/10.1109/tbiom.2021.3092564 ER -
APA
Mahdi, S. S., Nauwelaers, N., Joris, P., Bouritsas, G., Gong, S., Walsh, S., Shriver, M. D., Bronstein, M., & Claes, P. (2022). Matching 3D Facial Shape to Demographic Properties by Geometric Metric Learning: A Part-Based Approach. IEEE Transactions on Biometrics, Behavior, and Identity Science. https://doi.org/10.1109/tbiom.2021.3092564
Source records
- crossref · retrieved 2026-11-10T13:54:44.606Z