FERET

The FERET database and evaluation procedure for face-recognition algorithms. The Face Recognition Technology (FERET) program database is a large database of facial images, divided into development and sequestered portions. The development portion is made available to researchers, and the sequestered portion is reserved for testing facerecognition algorithms. The FERET evaluation procedure is an independently administered test of face-recognition algorithms. The test was designed to: (1) allow a direct comparison between different algorithms, (2) identify the most promising approaches, (3) assess the state of the art in face recognition, (4) identify future directions of research, and (5) advance the state of the art in face recognition.


References in zbMATH (referenced in 234 articles )

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  1. Cyran, Krzysztof A.; Kawulok, Jolanta; Kawulok, Michal; Stawarz, Magdalena; Michalak, Marcin; Pietrowska, Monika; Widłak, Piotr; Polańska, Joanna: Support vector machines in biomedical and biometrical applications (2013) ioport
  2. Feng, Zhizhao; Yang, Meng; Zhang, Lei; Liu, Yan; Zhang, David: Joint discriminative dimensionality reduction and dictionary learning for face recognition (2013) ioport
  3. Gao, Jian-Qiang; Fan, Li-Ya; Xu, Li-Zhong: Median null((S_w))-based method for face feature recognition (2013)
  4. Givens, G. H.; Beveridge, J. R.; Phillips, P. J.; Draper, B.; Lui, Y. M.; Bolme, D.: Introduction to face recognition and evaluation of algorithm performance (2013)
  5. Hu, Yongli; Jia, Huajie; Sun, Yanfeng: Linear discriminant analysis based on quaternion matrix representation for a color face image (2013)
  6. Jian, Muwei; Lam, Kin-Man; Dong, Junyu: A novel face-hallucination scheme based on singular value decomposition (2013) ioport
  7. Kan, Meina; Shan, Shiguang; Su, Yu; Xu, Dong; Chen, Xilin: Adaptive discriminant learning for face recognition (2013) ioport
  8. Li, Zhengming; Zhu, Qi; Xie, Binglei; Cao, Jian; Zhang, Jin: A collaborative neighbor representation based face recognition algorithm (2013)
  9. Miao, Zhenwei; Jiang, Xudong: Interest point detection using rank order LoG filter (2013) ioport
  10. Oh, Jiyong; Kwak, Nojun; Lee, Minsik; Choi, Chong-Ho: Generalized mean for feature extraction in one-class classification problems (2013) ioport
  11. Savchenko, A. V.: Probabilistic neural network with homogeneity testing in recognition of discrete patterns set (2013)
  12. Shih, Huang-Chia: Robust gender classification using a precise patch histogram (2013) ioport
  13. Song, Fengyi; Tan, Xiaoyang; Chen, Songcan; Zhou, Zhi-Hua: A literature survey on robust and efficient eye localization in real-life scenarios (2013) ioport
  14. Song, Xiaoning; Liu, Zi; Yang, Xibei; Yang, Jingyu: A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis (2013)
  15. Wang, Zhifei; Miao, Zhenjiang; Wan, Yanli; Tang, Zhen: Kernel coupled cross-regression for low-resolution face recognition (2013)
  16. Wu, Xiang; Wu, Ning: Thresholded two-phase test sample representation for outlier rejection in biological recognition (2013)
  17. Xiao, Bing; Gao, Xinbo; Tao, Dacheng; Li, Xuelong: Biview face recognition in the shape-texture domain (2013) ioport
  18. Xu, Yong; Zhu, Qi; Fan, Zizhu; Zhang, David; Mi, Jianxun; Lai, Zhihui: Using the idea of the sparse representation to perform coarse-to-fine face recognition (2013) ioport
  19. Yang, Meng; Zhang, Lei; Shiu, Simon C. K.; Zhang, David: Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary (2013) ioport
  20. Yang, Zhangjing; Liu, Chuancai; Huang, Pu; Qian, Jianjun: Membership-degree preserving discriminant analysis with applications to face recognition (2013)

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