High quality facial data synthesis and fusion for 3D low-quality face recognition

S Lin, C Jiang, F Liu, L Shen - 2021 IEEE International Joint …, 2021 - ieeexplore.ieee.org
3D face recognition (FR) is a popular topic in computer vision, since 3D face data is invariant
to pose and illumination condition changes which easily affect the performance of 2D FR …

[HTML][HTML] The Florence multi-resolution 3D facial expression dataset

C Ferrari, S Berretti, P Pala, A Del Bimbo - Pattern Recognition Letters, 2023 - Elsevier
In the literature, several 3D face datasets have been collected, aiming at advancing the field
of 3D face analysis from different perspectives. Data collection generally follows specific …

Deep learning-based 3D face recognition using derived features from point cloud

ME Atik, Z Duran - Innovations in Smart Cities Applications Volume 4: The …, 2021 - Springer
With developing technology and urbanization, smart city applications have increased.
Accordingly, this development brought some difficulties such as public security risk …

鲁棒可预测判别字典学习人脸识别方法.

张健, 米建勋 - Application Research of Computers/Jisuanji …, 2021 - search.ebscohost.com
提出一种可预测判别K SVD 网络模型(DKSVDN) 并用于人脸识别问题. 该模型构造了一种新颖
的字典结构, 包含类别标签字典和描述字典, 以兼顾判别和重构性能. 相应的稀疏编码向量由标签 …

[PDF][PDF] Improved Face and Facial Expression Recognition Based on a Novel Local Gradient Neighborhood.

F Ayeche, A Alti, A Boukerram - J. Digit. Inf. Manag., 2019 - researchgate.net
Computing efficiency is a key in biometric identification systems for automatic facial
expression recognition. It was integrated within advanced pattern recognition as an …

Traitement automatique d'images de visages algorithmes et architecture

F Ayeche - 2021 - dspace.univ-setif.dz
De nos jours, les techniques de reconnaissance automatique des visages et d'expressions
faciale snécessitent des résultats de reconnaissance précis et un temps d'exécution réduit …