A two-phase approach for expression invariant 3D face recognition using fine-tuned VGG-16 and 3D-SIFT descriptors-Reference-Cited by-同舟云学术

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A two-phase approach for expression invariant 3D face recognition using fine-tuned VGG-16 and 3D-SIFT descriptors

Published:2023-02-21 Issue:15 Volume:82 Page:23873-23890
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

P.R. Suganya Devi,R. Baskaran

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14407-z.pdf

Reference63 articles.

1. Abbad A, Abbad K, Tairi H (2018) 3d Face recognition: multi-scale strategy based on geometric and local descriptors. Comput Electr Eng 70:525–537

2. Adjabi I, Ouahabi A, Benzaoui A, Taleb-Ahmed A (2020) Past, present, and future of face recognition: a review. Electronics 9(8):1188

3. Al-Osaimi FR (2020) Learning descriptors invariance through equivalence relations within manifold: a new approach to expression invariant 3d face recognition. J Imaging 6(11):112

4. Alyuz N, Gökberk B, Akarun L (2010) Regional registration for expression resistant 3-d face recognition. IEEE Trans Inf Forensics Security 5(3):425–440

5. Amberg B, Knothe R, Vetter T (2008) Expression invariant 3d face recognition with a morphable model. In: 2008 8th IEEE international conference on automatic face & gesture recognition. IEEE, pp 1–6

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