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 149 articles )

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  1. Li, Zhi-Ming; Huang, Zheng-Hai; Zhang, Ting: Gabor-scale binary pattern for face recognition (2016)
  2. Kamaruzaman, Fadhlan; Shafie, Amir Akramin; Mustafah, Yasir M.: Coincidence detection using spiking neurons with application to face recognition (2015)
  3. Zhao, Shuhuan; Hu, Zheng-ping: A modular weighted sparse representation based on Fisher discriminant and sparse residual for face recognition with occlusion (2015)
  4. Bautista, Miguel Ángel; Escalera, Sergio; Baró, Xavier; Pujol, Oriol: On the design of an ECOC-compliant genetic algorithm (2014) ioport
  5. Biswas, Arijit; Jacobs, David: Active image clustering with pairwise constraints from humans (2014)
  6. Cament, Leonardo A.; Castillo, Luis E.; Perez, Juan P.; Galdames, Francisco J.; Perez, Claudio A.: Fusion of local normalization and Gabor entropy weighted features for face identification (2014) ioport
  7. Gao, Quanxue; Liu, Jingjing; Cui, Kai; Zhang, Hailin; Wang, Xiaogang: Stable locality sensitive discriminant analysis for image recognition (2014)
  8. Gao, Zhirong; Ding, Lixin; Xiong, Chengyi; Huang, Bo: A robust face recognition method using multiple features fusion and linear regression (2014)
  9. He, Ran; Hu, Baogang; Yuan, Xiaotong; Wang, Liang: Robust recognition via information theoretic learning (2014)
  10. Ho, Huy Tho; Gopalan, Raghuraman: Model-driven domain adaptation on product manifolds for unconstrained face recognition (2014)
  11. Liu, Hui-Dong; Yang, Ming; Gao, Yang; Yin, Yilong; Chen, Liang: Bilinear discriminative dictionary learning for face recognition (2014) ioport
  12. Luan, Xiao; Fang, Bin; Liu, Linghui; Yang, Weibin; Qian, Jiye: Extracting sparse error of robust PCA for face recognition in the presence of varying illumination and occlusion (2014) ioport
  13. Mehta, Rakesh; Yuan, Jirui; Egiazarian, Karen: Face recognition using scale-adaptive directional and textural features (2014) ioport
  14. Mohamad AL-Shiha, Abeer A.; Woo, W.L.; Dlay, S.S.: Multi-linear neighborhood preserving projection for face recognition (2014)
  15. Peng, Xi; Zhang, Lei; Yi, Zhang; Tan, Kok Kiong: Learning locality-constrained collaborative representation for robust face recognition (2014) ioport
  16. Song, Fengyi; Tan, Xiaoyang; Liu, Xue; Chen, Songcan: Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients (2014) ioport
  17. Wang, Nannan; Tao, Dacheng; Gao, Xinbo; Li, Xuelong; Li, Jie: A comprehensive survey to face hallucination (2014) ioport
  18. Wei, Lai: Optimal subspace learning for sparse representation based classifier via discriminative principal subspaces alignment (2014)
  19. Yang, Meng; Feng, Zhizhao; Shiu, Simon C.K.; Zhang, Lei: Fast and robust face recognition via coding residual map learning based adaptive masking (2014)
  20. Yang, Meng; Zhang, Lei; Feng, Xiangchu; Zhang, David: Sparse representation based Fisher discrimination dictionary learning for image classification (2014)

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