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Li, Y., et al. (2018) Distance Metric Optimization Driven Convolutional Neural Network for Age Invariant Face Recognition. Pattern Recognition: The Journal of the Pattern Recognition Society, 75, 51-62.
https://doi.org/10.1016/j.patcog.2017.10.015

has been cited by the following article:

• TITLE: Surveillance Video Portrait Recognition Preprocessing Technology for Police Actual Combat

  AUTHORS: Yao Chen, Ao Chen, Zhiwei Jiang, Jianfu Zhong

  KEYWORDS: Wiener Filter, Logarithmic Transformation, Wavelet Transform, Symmetry, Gradient Descent

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.9 No.5, May 30, 2019

  ABSTRACT: With the continuous development of technology, face recognition technology has played an important role in police work. In order to get a clear face image, image preprocessing technology is needed. This paper mainly proposes illumination compensation technology and reconstruction technology based on symmetry.