Facial Key-Point Detection and Real-Time Filtering Using Convolutional Neural Network

Authors

  • Abhishek G C  Student VIII Sem, Department of Information Science & Engineering, NIE, Mysuru, Karnataka, India
  • Pramukh B V  Student VIII Sem, Department of Information Science & Engineering, NIE, Mysuru, Karnataka, India
  • Pranav T V  Student VIII Sem, Department of Information Science & Engineering, NIE, Mysuru, Karnataka, India
  • Shravan S Vasista  Student VIII Sem, Department of Information Science & Engineering, NIE, Mysuru, Karnataka, India
  • B S Prathibha  Assisstant Professor, Department of Information Science & Engineering, NIE, Mysuru, Karnataka, India

Keywords:

Convolutional Neural Network, Face Detection, Facial Keypoints, Facial Recognition, Real-time Filtering.

Abstract

In this paper, an effort is made to combine the knowledge of computer vision techniques and deep learning to build and end-to-end facial keypoint recognition system. Facial keypoints include points around the eyes, nose, and mouth on any face and are used in many applications, from facial tracking to emotion recognition. The partially complete module should be able to take in any image containing faces and identify the location of each face and their facial keypoints. The proposed facial recognition system uses few of the many computer vision algorithms built into the OpenCV library and are implemented at the basic level. This expansive computer vision library is open source and is still growing. The proposed system does real time filtering and facial key point detection. This implementation uses a Convolutional Neural Network to train the system at each step, visualize the loss and learn in the next detection.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-05-08

Issue

Volume 4, Issue 6, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Abhishek G C, Pramukh B V, Pranav T V, Shravan S Vasista, B S Prathibha, " Facial Key-Point Detection and Real-Time Filtering Using Convolutional Neural Network, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.228-232, May-June-2018.