Face Recognition Using Sf3CNN With Higher Feature Discrimination

@inproceedings{Mishra2021FaceRU,
  title={Face Recognition Using Sf3CNN With Higher Feature Discrimination},
  author={Nayaneesh Kumar Mishra and Satish Kumar Singh},
  booktitle={International Conference on Computer Vision and Image Processing},
  year={2021}
}
  • N. MishraS. Singh
  • Published in
    International Conference on…
     2 February 2021
  • Computer Science
With the advent of 2-dimensional Convolution Neural Networks (2D CNNs), the face recognition accuracy has reached above 99%. However, face recognition is still a challenge in real world conditions. A video, instead of an image, as an input can be more useful to solve the challenges of face recognition in real world conditions. This is because a video provides more features than an image. However, 2D CNNs cannot take advantage of the temporal features present in the video. We therefore, propose… 
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Face Recognition Using 3D CNN and Hardmining Loss Function

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