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. Ullman, Shimon; Bart, Evgeniy: Recognition invariance obtained by extended and invariant features (2004)
  2. Zhu, Junmei; von der Malsburg, Christoph: Maplets for correspondence-based object recognition (2004) ioport
  3. Daugman, John: The importance of being random: Statistical principles of iris recognition. (2003) ioport
  4. Liu, QingShan; Huang, Rui; Lu, HanQing; Ma, SongDe: Kernel-based nonlinear discriminant analysis for face recognition (2003)
  5. Perronnin, Florent; Dugelay, Jean-Luc: Discriminative face recognition (2003)
  6. Wu, Jianxin; Zhou, Zhi-Hua: Efficient face candidates selector for face detection. (2003) ioport
  7. Tistarelli, Massimo; Lagorio, Andrea; Grosso, Enrico: Understanding iconic image-based face biometrics (2002)
  8. Yuen, Pong C.; Lai, J. H.: Face representation using independent component analysis (2002)
  9. Zhang, Zhongfei; Srihari, Rohini K.: Subspace morphing theory for appearance based object identification (2002)
  10. Gutta, Srinivas; Huang, Jeffrey; Liu, Chengjun; Wechsler, Harry: Comparative performance evaluation of Gray-scale and color information for face recognition tasks (2001)
  11. Lai, Jian Huang; Yuen, Pong C.; Feng, Guo Can: Face recognition using holistic Fourier invariant features (2001)
  12. Moghaddam, Baback; Jebara, Tony; Pentland, Alex: Bayesian face recognition (2000) ioport
  13. Phillips, P. Jonathon; Moon, Hyeonjoon; Rizvi, Syed A.; Rauss, Patrick J.: The FERET Evaluation Methodology for Face-Recognition Algorithms (2000) ioport
  14. Phillips, P. Jonathon; moon, Hyeonjoon; Rauss, Patrick: The FERET evaluation (1998) ioport

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