A Novel 3D Facial Recognition for Digital Payments-Reference-Cited by-同舟云学术

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A Novel 3D Facial Recognition for Digital Payments

Published:2022 Issue: Volume: Page:809-825
ISSN:2367-3370
Container-title:Proceedings of International Conference on Recent Trends in Computing
language:
Short-container-title:

Author:

Prabu Shankar K. C.,Hema M.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7118-0_69

Reference25 articles.

1. Li Y, Ma L, Tana W, Sun C, Cao D, Li J (2020) GRNet: Geometric relation network for 3D object detection from point clouds. ISPRS J Photogrammetry Remote Sens 165:43–53. https://doi.org/10.1016/j.isprsjprs.2020.05.008

2. Suo C, Liu Z, Mo L, Liu Y (2020) LPD-AE: latent space representation of large-scale 3D point cloud. IEEE Access 8:108402–108417. https://doi.org/10.1109/ACCESS.2020.2999727

3. Liang J, Tu H, Liu F, Zhao Q, Jain AK (2020) 3D face reconstruction from mugshots: Application to arbitrary view face recognition. Neurocomputing. 410:12–27. https://doi.org/10.1016/j.neucom.2020.05.076

4. Contreras J, Sickert S, Denzle J (2020) Region-Based edge convolutions with geometric attributes for the semantic segmentation of large-scale 3-D point clouds. IEEE J Sel Top Appl Earth Observations Remote Sens 13:2598–2609. https://doi.org/10.1109/JSTARS.2020.2998037

5. Zhai Z, Zhang X, Yao L (2020) Multi-Scale dynamic graph convolution network for point clouds classification. IEEE Access 8:65591–65598. https://doi.org/10.1109/ACCESS.2020.2985279

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