AR face

AR Face Database: 126 people (over 4,000 color images). Different facial expressions, illumination conditions and occlusions. This face database was created by Aleix Martinez and Robert Benavente in the Computer Vision Center (CVC) at the U.A.B. It contains over 4,000 color images corresponding to 126 people’s faces (70 men and 56 women). Images feature frontal view faces with different facial expressions, illumination conditions, and occlusions (sun glasses and scarf). The pictures were taken at the CVC under strictly controlled conditions. No restrictions on wear (clothes, glasses, etc.), make-up, hair style, etc. were imposed to participants. Each person participated in two sessions, separated by two weeks (14 days) time. The same pictures were taken in both sessions. This face database is publicly available and can be obtained from this web-site. It is free for academic use. Commercial distribution or any act related to commercial use of this database is strictly prohibited.

References in zbMATH (referenced in 189 articles )

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  1. Lu, Jianglin; Lin, Jingxu; Lai, Zhihui; Wang, Hailing; Zhou, Jie: Target redirected regression with dynamic neighborhood structure (2021)
  2. Maghari, Ashraf Y. A.: Recognition of partially occluded faces using regularized ICA (2021)
  3. Qiu, Duo; Bai, Minru; Ng, Michael K.; Zhang, Xiongjun: Robust low transformed multi-rank tensor methods for image alignment (2021)
  4. Yoshikawa, Kohei; Kawano, Shuichi: Multilinear common component analysis via Kronecker product representation (2021)
  5. Zeng, Jinhua; Qiu, Xiulian; Shi, Shaopei: Image processing effects on the deep face recognition system (2021)
  6. Deng, Kangkang; Peng, Zheng; Zhu, Wenxing: A discriminative projection and representation-based classification framework for face recognition (2020)
  7. Jin, Taisong; Cao, Liujuan; Jie, Feiran; Ji, Rongrong: Link-aware semi-supervised hypergraph (2020)
  8. Tran, K. H.; Ngolè Mboula, F. M.; Starck, J. L.; Prost, V.: Semisupervised dictionary learning with graph regularized and active points (2020)
  9. Wu, Jiasong; Wu, Fuzhi; Yang, Qihan; Zhang, Yan; Liu, Xilin; Kong, Youyong; Senhadji, Lotfi; Shu, Huazhong: Fractional spectral graph wavelets and their applications (2020)
  10. Zhu, Qi; Zhang, Rui; Huang, Sheng-Jun; Zhang, Zheng; Zhang, Daoqiang: LGSLRR: towards fusing discriminative ordinal local and global structured low-rank representation for image recognition (2020)
  11. Diaz-Chito, Katerine; Martínez del Rincón, Jesús; Rusiñol, Marçal; Hernández-Sabaté, Aura: Feature extraction by using dual-generalized discriminative common vectors (2019)
  12. Li, Shan; Deng, Weihong: Reliable crowdsourcing and deep locality-preserving learning for unconstrained facial expression recognition (2019)
  13. Nawaz Jadoon, Rab; Jadoon, Waqas; Khan, Ahmad; ur Rehman, Zia; Shah, Sajid; Khan, Iftikhar Ahmed; Zhou, WuYang: Linear discriminative learning for image classification (2019)
  14. Alim, Affan; Naseem, Imran; Togneri, Roberto; Bennamoun, Mohammed: The most discriminant subbands for face recognition: a novel information-theoretic framework (2018)
  15. Chen, Si-Bao; Ding, Chris H. Q.; Luo, Bin: Linear regression based projections for dimensionality reduction (2018)
  16. Chen, Yudong; Lai, Zhihui; Wen, Jiajun; Gao, Can: Nuclear norm based two-dimensional sparse principal component analysis (2018)
  17. Diaz-Chito, Katerine; del Rincón, Jesús Martínez; Hernández-Sabaté, Aura; Rusiñol, Marçal; Ferri, Francesc J.: Fast kernel generalized discriminative common vectors for feature extraction (2018)
  18. Lin, Guojun; Yang, Meng; Shen, Linlin; Yang, Mingzhong; Xie, Mei: Robust and discriminative dictionary learning for face recognition (2018)
  19. Shang, Kun; Huang, Zheng-Hai; Liu, Wanquan; Li, Zhi-Ming: A single gallery-based face recognition using extended joint sparse representation (2018)
  20. Yi, Yugen; Qiao, Shaojie; Zhou, Wei; Zheng, Caixia; Liu, Qinghua; Wang, Jianzhong: Adaptive multiple graph regularized semi-supervised extreme learning machine (2018)

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