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Iris Recognition

Iris recognition is considered to be the safest and most accurate recognition method

Light Field Photography

Light field is a parameterized representation of four-dimensional radiation field which contains both position and direction information in space

Periocular Recognition

Face recognition derivative, periocular recognition

Sclera Recognition

Another ocular biometric after iris biometrics

Director

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Tieniu Tan

Professor

Partten Recognition, Computational Vision, Biometric recognition

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Zhenan Sun

Professor

Partten Recognition, Computational Vision, Biometric recognition

Faculty

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Kunbo Zhang

Assistant Professor

Biometric Imaging, Human-robot Interaction, Light-field Photography

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Yunlong Wang

Assistant Professor

Partten Recognition, light field photography, Biometric recognition

Post Doctoral

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Wanting Zhou

Post-doctoral

Deep Learning, Computer Vision, Biometrics Recognition

Graduate Students

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Hongda Liu

Ph.D. candidate

Artificial Intelligence, Computational Vision, Iris Recognition

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Jianze Wei

Ph.D. candidate

Computer Vision, Biometrics, Machine Learning

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Junxing Hu

Ph.D. candidate

Deep Learning, Computer Vision, Biometrics Recognition

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Leyuan Wang

M.Sc. candidate

Artificial Intelligence, Pattern Recognition, Computational Photography

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Min Ren

Ph.D. candidate

Artificial Intelligence, Graph Convolutional Network, Iris Recognition

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Tao Qin

M.Sc. candidate

Artificial Intelligence, Machine learning, Biometric Identification

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Tianhao Lu

M.Sc. candidate

Artificial Intelligence, Computational Vision, Iris Recognition

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Yong He

engineer

Artificial Intelligence, Computational Vision, Partten Recognition

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Zhengquan Luo

Ph.D. candidate

Artificial Intelligence, Federated learning, Biometic Recognition

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Zihui Yan

Ph.D. candidate

Artificial Intelligence, Biometrics, Iris Recognition

Alumni

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Caiyong Wang

Former PhD Student

Deep Learning, Computer Vision, Biometrics

Contact

  • sir@cripac.ia.ac.cn
  • 95 Zhongguancun East Road, Haidian District, BEIJING 100190
  • 16th floor, Intelligent Building
  • 9:00 to 17:00